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Retrosynthetic analysis
Retrosynthetic analysis
Retrosynthetic analysis
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Retrosynthetic analysis is a technique for solving problems in the planning of organic syntheses. This is achieved by transforming a target molecule into simpler precursor structures regardless of any potential reactivity/interaction with reagents. Each precursor material is examined using the same method. This procedure is repeated until simple or commercially available structures are reached. These simpler/commercially available compounds can be used to form a synthesis of the target molecule. Retrosynthetic analysis was used as early as 1917 in Robinson's Tropinone total synthesis.[1] Important conceptual work on retrosynthetic analysis was published by George Vladutz in 1963.[2][3] E.J. Corey formalized and popularized the concept from 1967 onwards in his article General methods for the construction of complex molecules and his book The Logic of Chemical Synthesis.[4][5][6][7]

The power of retrosynthetic analysis becomes evident in the design of a synthesis. The goal of retrosynthetic analysis is a structural simplification. Often, a synthesis will have more than one possible synthetic route. Retrosynthesis is well suited for discovering different synthetic routes and comparing them in a logical and straightforward fashion.[8] A database may be consulted at each stage of the analysis, to determine whether a component already exists in the literature. In that case, no further exploration of that compound would be required. If that compound exists, it can be a jumping point for further steps developed to reach a synthesis.

There are both academic and commercial groups developing retrosynthesis tools. With the growing application of machine learning and artificial intelligence in chemistry, many research groups, such as the Coley Group from MIT, and companies, such as Chemical.AI, Reaxys, etc., have started to integrate deep learning into the conventional rule-based approaches.

Definitions

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Disconnection
A retrosynthetic step involving the breaking of a bond to form two (or more) synthons.
Retron
A minimal molecular substructure that enables certain transformations.
Retrosynthetic tree
A directed acyclic graph of several (or all) possible retrosyntheses of a single target.
Synthon
A fragment of a compound that assists in the formation of a synthesis, derived from that target molecule. A synthon and the corresponding commercially available synthetic equivalent are shown below:
Target
The desired final compound.
Transform
The reverse of a synthetic reaction; the formation of starting materials from a single product.

Example

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Shown below is a retrosynthetic analysis of phenylacetic acid:

Retrosynthetic analysis of phenylacetic acid

In planning the synthesis, two synthons are identified. A nucleophilic "-COOH" group, and an electrophilic "PhCH2+" group. Both synthons do not exist as written; synthetic equivalents corresponding to the synthons are reacted to produce the desired product. In this case, the cyanide anion is the synthetic equivalent for the −COOH synthon, while benzyl bromide is the synthetic equivalent for the benzyl synthon.

The synthesis of phenylacetic acid determined by retrosynthetic analysis is thus:

PhCH2Br + NaCN → PhCH2CN + NaBr
PhCH2CN + 2 H2O → PhCH2COOH + NH3

In fact, phenylacetic acid has been synthesized from benzyl cyanide,[9] itself prepared by the analogous reaction of benzyl bromide with sodium cyanide.[10]

Strategies

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Functional group strategies

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Manipulation of functional groups can lead to significant reductions in molecular complexity.

Stereochemical strategies

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Numerous chemical targets have distinct stereochemical demands. Stereochemical transformations (such as the Claisen rearrangement and Mitsunobu reaction) can remove or transfer the desired chirality thus simplifying the target.

Structure-goal strategies

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Directing a synthesis toward a desirable intermediate can greatly narrow the focus of analysis. This allows bidirectional search techniques.

Transform-based strategies

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The application of transformations to retrosynthetic analysis can lead to powerful reductions in molecular complexity. Unfortunately, powerful transform-based retrons are rarely present in complex molecules, and additional synthetic steps are often needed to establish their presence.

Topological strategies

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The identification of one or more key bond disconnections may lead to the identification of key substructures or difficult to identify rearrangement transformations in order to identify the key structures.

  • Disconnections that preserve ring structures are encouraged.
  • Disconnections that create rings larger than 7 members are discouraged.
  • Disconnection involves creativity.

See also

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References

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[edit]
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Retrosynthetic analysis

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Retrosynthetic analysis is a systematic problem-solving technique in that involves deconstructing a target molecule into progressively simpler precursor structures by applying transforms, which are the logical reverses of known synthetic reactions, ultimately identifying feasible starting materials and synthetic routes. This approach, pioneered by American chemist , transforms the planning of complex molecule syntheses from an ad hoc process into a structured, logical . For its foundational contributions to , including the development of retrosynthetic analysis, Corey was awarded the in 1990. The concept of retrosynthetic analysis originated in the late 1950s, with conceiving its core ideas in the fall of 1957 while contemplating strategies for synthesizing intricate natural products like longifolene. It was first formally outlined in 's 1967 publication, where he described general methods for constructing complex molecules through disconnection strategies that simplify molecular topology, functionality, and stereochemistry. Over the subsequent decades, the technique evolved into a cornerstone of synthetic , formalized further in 's seminal 1989 book The Logic of Chemical Synthesis, which detailed its application to real-world problems in . Key concepts include the use of retrosynthetic trees (or EXTGT trees), where each node represents a molecular structure and branches denote possible precursors, guided by retrons—structural motifs amenable to specific transforms. Retrosynthetic strategies encompass several categories to reduce molecular complexity: topological strategies focus on bond disconnections to fragment rings or chains; stereochemical strategies address the creation or preservation of chiral centers; functional group interconversion (FGI) manipulates reactive sites; and transform-based approaches apply specific reaction reverses, such as long-range simplifying transforms for multi-step efficiency. This methodology has been instrumental in the of over 100 complex natural products, including prostaglandins, erythronolide B, and ginkgolide B, demonstrating its power in navigating synthetic challenges like stereocontrol and efficiency. Furthermore, retrosynthetic analysis inspired computational tools, such as Corey's (Logic and Heuristics Applied to Synthetic Analysis) program developed in the , which automates pathway generation and has influenced modern AI-driven synthesis planning in pharmaceutical and materials chemistry. Today, it remains essential for designing efficient routes in and beyond, emphasizing creativity within a rigorous framework.

Fundamentals

Definition and Principles

Retrosynthetic analysis is a systematic technique in used to plan the synthesis of complex s by mentally deconstructing a target (TGT) into simpler precursor structures through the imagined reversal of synthetic reactions. This approach, also known as antithetic analysis, transforms the target into a of progressively simpler intermediates that ultimately lead to readily available or commercially obtainable starting materials (SM). As defined by E. J. Corey, it constitutes "a problem-solving technique for transforming the structure of a synthetic target (TGT) to a of progressively simpler structures along a pathway which ultimately leads to simple or commercially available starting materials for a chemical synthesis." The method emphasizes logical simplification rather than forward trial-and-error experimentation, providing a structured framework for devising efficient synthetic routes. The fundamental principle of retrosynthetic analysis is to work backwards from the target molecule, applying disconnections—hypothetical bond cleavages that mirror the reverse of known synthetic transformations—to generate potential precursors. These disconnections are guided by chemical feasibility, focusing on substructural units that align with established reaction patterns, thereby reducing molecular complexity in a controlled manner. Corey described this as a process where "the target structure is subjected to a deconstruction process which corresponds to the reverse of a synthetic reaction, so as to convert that target structure to simpler precursor structures." By iteratively applying such steps, chemists can explore a tree-like network of possible pathways, prioritizing those that maintain synthetic viability at each stage. This backward-planning is crucial for enabling the efficient design of multi-step syntheses, particularly for intricate natural products or pharmaceuticals, as it allows chemists to identify optimal routes that minimize steps, resources, and potential failures. Retrosynthetic analysis shifts the focus from empirical guessing to rational , optimizing overall synthetic efficiency and convergence. It forms the basis of a general logic for synthetic planning, as articulated by , facilitating both manual and computational approaches to complex molecule construction. In practice, the retrosynthetic process follows a basic : starting with the target molecule, performing a disconnection to yield immediate precursors, then recursively applying further disconnections to those precursors until simple, commercial starting materials are reached. This iterative deconstruction ensures a convergent pathway toward practical synthesis.

Historical Development

The origins of retrosynthetic analysis trace back to the early , when organic chemists began moving beyond trial-and-error approaches toward more systematic planning of syntheses, often drawing on insights from reaction mechanisms to anticipate synthetic routes. Pioneering efforts, such as Robert Robinson's 1917 of , implicitly employed backward-thinking strategies by identifying key bond disconnections based on known reactions, though without formal methodology. Elias James Corey formalized retrosynthetic analysis as a structured technique in his 1967 paper, introducing the concept of systematically deconstructing target molecules into simpler precursors via retro-synthetic steps, represented by arrows pointing backward from products to reactants. This approach emphasized logical disconnection of bonds and transformations, enabling efficient planning for complex molecules, as demonstrated in Corey's synthesis of longifolene published in 1961 and detailed further in 1964. Corey's methodology rapidly gained traction, transforming from intuitive artistry to a disciplined . In the 1970s, extended retrosynthetic analysis through the development of the (Logic and Heuristics Applied to Synthetic Analysis) , initiated in the late and first publicly demonstrated in 1969, which automated the generation of synthetic pathways using rules derived from retrosynthetic principles. allowed chemists to explore vast arrays of possible routes interactively, as described in key publications including a 1972 Journal of the article, marking the integration of computational tools with human ingenuity in synthesis planning. Corey's contributions culminated in the 1990 Nobel Prize in Chemistry, awarded for his development of retrosynthetic analysis and its methodological impact on . His seminal book, The Logic of (1989), provided a comprehensive framework for applying retrosynthetic strategies, solidifying the approach as a cornerstone of the field. By the , retrosynthetic analysis had evolved through refinements in computational implementations, building on to incorporate more sophisticated databases of reactions and stereochemical considerations, facilitating broader application in academic and industrial synthesis without relying on emerging AI paradigms.

Core Methodology

Disconnection Approach

The disconnection approach in retrosynthetic analysis involves the imaginary cleavage of a bond in the target to generate simpler synthetic through the application of a transform, which is the exact reverse of a known synthetic reaction. This technique systematically reduces molecular complexity by identifying strategic bonds whose disconnection aligns with established synthetic pathways. Disconnections are classified based on the position of the cleaved bond relative to functional groups in the target. A 1,1-disconnection breaks a bond adjacent to a single , such as the reverse of a carbonyl where a tertiary alcohol or is cleaved to a carbonyl compound and a carbanionic . In contrast, a 1,2-disconnection cleaves the bond between two adjacent functional groups or atoms within a , as seen in the retrosynthesis of aldol products from β-hydroxy carbonyl compounds. A 1,3-disconnection, meanwhile, involves breaking a bond two or three atoms removed from a , corresponding to reactions like the Michael in 1,5-dicarbonyl systems. For a disconnection to be valid, it must correspond to a known and reliable forward synthetic transform that simplifies the target structure by reducing its size, topological complexity, or number of stereocenters. Additionally, valid disconnections require the presence of a —a structural subunit in the target that matches the transform—and prioritize simplicity by favoring convergent pathways over linear ones. Heuristic rules further refine disconnection choices by emphasizing those that produce stable, commercially available, or easily synthesized synthons, which are the idealized reactive fragments resulting from the cleavage. These rules also advise against disconnections that generate strained rings larger than seven members, uncorrectable stereocenters, or unstable intermediates, ensuring the retrosynthetic path remains practical. As an illustrative example, consider a generic target molecule of the form R–C(=O)–R'. Applying a 1,1-disconnection at the carbonyl carbon yields precursors such as an (R–CHO) and an organometallic (R'–M), which in the forward direction would react via to form the ketone. This disconnection highlights how the approach leverages common reactivity patterns for simplification.

Target: R–C(=O)–R' Disconnection: | (cleavage at C–R') Precursors: R–C(=O)–H + ¯C–R' (synthons; M = metal)

Target: R–C(=O)–R' Disconnection: | (cleavage at C–R') Precursors: R–C(=O)–H + ¯C–R' (synthons; M = metal)

Synthons and Retrosynthetic Notation

In retrosynthetic analysis, synthons are defined as idealized, often charged molecular fragments that represent the reactive intermediates resulting from the disconnection of a target , serving as synthetic equivalents to guide the identification of viable precursors. These fragments embody the polarity and reactivity patterns necessary for the corresponding forward synthetic reaction, allowing chemists to systematically explore bond-forming strategies without initially considering practical synthetic constraints. The concept of synthons was introduced by E. J. Corey to formalize the logical disconnection of complex structures into simpler components, emphasizing their role in antithetic (reverse) thinking. Synthons are classified based on their electronic nature, primarily as nucleophilic (electron-donor) or electrophilic (electron-acceptor) , which mirrors the natural reactivity in organic transformations. Nucleophilic synthons act as electron-rich donors, while electrophilic ones function as electron-deficient acceptors, facilitating the of complementary fragments during retrosynthetic . A key variant involves , or polarity reversal, where a synthon exhibits reactivity opposite to its typical behavior; for instance, an acyl anion equivalent serves as a nucleophilic synthon at the carbonyl carbon, enabling syntheses that would otherwise require incompatible polarities. This umpolung approach expands the scope of retrosynthetic disconnections by inverting reactivities. The retrosynthetic arrow provides a standardized symbolic notation to denote the backward transformation from a target structure to its precursors, typically represented as "⇒" or a similar double-headed arrow pointing leftward, distinguishing it from forward synthetic arrows. This notation underscores the iterative, hierarchical nature of retrosynthesis, where each step simplifies the molecular complexity toward commercially available starting materials. Complementing this is the retron, defined as the minimal substructural motif within the target molecule that matches the requirements for applying a specific synthetic transform, ensuring that disconnections are structurally feasible. Retrons often encompass functional groups, stereocenters, or ring systems that "key" the retrosynthetic operation. Notation conventions in retrosynthetic analysis further enhance clarity and precision in representing these concepts. Disconnections are commonly illustrated with dashed or wavy lines across the cleaved bond in the target structure, visually indicating the site of potential bond formation in synthesis. Synthons are explicitly labeled with charges (e.g., positive for electrophilic, negative for nucleophilic) or polarity indicators to highlight their intended reactivity, while retrons may be bracketed or annotated to denote their enabling role. These conventions, rooted in systematic diagramming, facilitate the communication of retrosynthetic trees and the evaluation of synthetic routes.

Illustrative Examples

Simple Molecule Synthesis

Retrosynthetic analysis applied to simple molecules emphasizes fundamental disconnections that correspond to well-established synthetic transforms, allowing rapid identification of feasible routes from commercial precursors. A representative example is the synthesis of , a secondary alcohol with the structure \ceC6H5CH(OH)CH3\ce{C6H5CH(OH)CH3}, which serves as an intermediate in various pharmaceutical and fragrance applications. The initial step involves a 1,1-disconnection at the bond between the carbinol carbon and the , transforming the target into (\ceC6H5CHO\ce{C6H5CHO}) as the electrophilic and a methyl equivalent (\ce−CH3\ce{^{-}CH3}) as the nucleophilic . This disconnection aligns with the general principle of carbonyl in retrosynthesis, where the alcohol functionality is traced back to an aldehyde precursor. In practice, the methyl nucleophile is realized as methylmagnesium bromide (\ceCH3MgBr\ce{CH3MgBr}), a readily prepared organometallic reagent. To verify feasibility, the forward synthesis proceeds via of \ceCH3MgBr\ce{CH3MgBr} to in anhydrous ether, followed by acidic workup to yield in high efficiency (typically >90% yield under standard conditions). This reaction exemplifies a classic Grignard addition, tolerant of the aryl aldehyde and producing the desired C-C bond without over-addition issues common to ketones. A two-level retrosynthetic tree for is depicted below, illustrating the stepwise simplification to starting materials:

Target: [1-Phenylethanol](/page/1-Phenylethanol) ($\ce{C6H5CH(OH)CH3}$) | +-- 1,1-Disconnection ([nucleophilic addition](/page/Nucleophilic_addition) transform) | +-- Precursor 1: [Benzaldehyde](/page/Benzaldehyde) ($\ce{C6H5CHO}$) [commercial availability] | +-- Precursor 2: $\ce{CH3^{-}}$ equivalent ($\ce{CH3MgBr}$) | +-- Further disconnection: $\ce{CH3Br}$ (or $\ce{CH3I}$) + Mg [both commercial]

Target: [1-Phenylethanol](/page/1-Phenylethanol) ($\ce{C6H5CH(OH)CH3}$) | +-- 1,1-Disconnection ([nucleophilic addition](/page/Nucleophilic_addition) transform) | +-- Precursor 1: [Benzaldehyde](/page/Benzaldehyde) ($\ce{C6H5CHO}$) [commercial availability] | +-- Precursor 2: $\ce{CH3^{-}}$ equivalent ($\ce{CH3MgBr}$) | +-- Further disconnection: $\ce{CH3Br}$ (or $\ce{CH3I}$) + Mg [both commercial]

This tree highlights how retrosynthetic planning converges on accessible precursors within two steps, underscoring the efficiency of the approach for acyclic targets. The key learning from this analysis is the reliance on ubiquitous transforms like to carbonyls, which form the foundation of retrosynthetic strategies for alcohols and enable scalable synthesis from commodity chemicals. In this case, the route leverages commercial (derived from oxidation of ) and simple alkyl halides, demonstrating practical utility in laboratory and industrial contexts without requiring specialized reagents.

Complex Natural Product Synthesis

Retrosynthetic analysis has been pivotal in the total synthesis of complex natural products like (+)-discodermolide, a polyketide isolated from the marine sponge Discodermia dissoluta, renowned for its potent microtubule-stabilizing anticancer activity comparable to . This 24-carbon molecule features 13 stereocenters, a ring, and multiple olefinic linkages, presenting significant challenges in stereocontrol and fragment assembly. Seminal work by Amos B. Smith III and colleagues exemplifies the application of retrosynthesis to such targets, enabling a highly convergent route that minimized steps while addressing structural complexity. The retrosynthetic tree for (+)-discodermolide begins with disconnections at the key C(7)-C(8) and C(14)-C(15) bonds, strategically chosen to cleave the carbon backbone into three advanced fragments of comparable complexity: the C(1)-C(7) subunit, the central C(8)-C(14) polypropionate chain, and the C(15)-C(24) terminal portion. Further retrosynthetic elaboration of the C(1)-C(7) fragment involves disconnecting the ring via an hydrolysis equivalent, leading to a β-hydroxy acid derived from an Evans asymmetric on a propionate-derived auxiliary. The central C(8)-C(14) segment is simplified by cleaving at the C(11)-C(12) bond, revealing a vinyl iodide and pair amenable to , while the C(15)-C(24) chain undergoes sequential disconnections at the Z-olefin (C(17)-C(18)) and terminus, tracing back to crotylboration products and a . This multi-level approach spans approximately 8-10 steps backward from the target, incorporating stereoselective transforms like allylboration and aldol additions to install the required configurations. Convergence is achieved through sequential palladium-mediated couplings: a Wittig olefination unites the C(1)-C(7) with the C(8)-C(14) phosphonium ylide, followed by a Suzuki-Miyaura cross-coupling of the resulting vinyl boronate with the C(15)-C(24) vinyl iodide, streamlining the assembly and reducing the longest linear sequence to 17 steps from commercial materials. To verify viability, the forward synthesis proceeds from these synthons: the Evans aldol yields the protected fragment, constructs the central chain, and the final couplings install the olefins with high E/Z selectivity, culminating in global deprotection to afford (+)-discodermolide in 9.0% overall yield on a gram scale (1.043 g produced). Key challenges in this retrosynthetic plan include ensuring compatibility during late-stage couplings, particularly the tolerance of the sensitive and moieties to ; these were addressed through optimized protecting groups, such as TES ethers and PMB acetals, to prevent side reactions like cyclopentane byproduct formation during phosphonium salt generation. This approach highlights how retrosynthesis facilitates scalable production of scarce products for clinical evaluation, with (+)-discodermolide advancing to Phase I trials based on the synthesized material.

Retrosynthetic Strategies

Functional Group Strategies

strategies in retrosynthetic analysis focus on manipulating s to facilitate disconnections and simplify the synthetic pathway toward a target molecule. These tactics involve altering the reactivity or presence of s without changing the core carbon skeleton, thereby enabling the application of standard transforms. Pioneered by E. J. Corey, such strategies emphasize reducing molecular complexity by prioritizing interconversions (FGIs) that generate precursors amenable to efficient bond-forming reactions. Functional group interconversion (FGI) transforms one into another to create a retron—a that matches a known synthetic transform—thus simplifying the retrosynthetic tree. For instance, in retrosynthesis, an alcohol may be interconverted to a carbonyl via oxidation, allowing disconnection at the carbonyl carbon to reveal simpler synthons. This approach is particularly useful when the target functional group hinders direct disconnection, as seen in Corey's synthesis of prostaglandins, where FGIs converted complex structures into versatile precursors like the Corey . Protecting groups serve a complementary role by masking reactive functionalities during synthesis; in retrosynthetic planning, their removal unmasks the desired group, revealing hidden reactivity for prior steps. Common examples include acetals for carbonyl protection, which in retroanalysis are "deprotected" to expose the or , enabling disconnections that would otherwise be incompatible with the protected form. In prostaglandin synthesis, Corey employed bis-tetrahydropyranyl (bis-THP) ethers to protect hydroxyl groups, allowing selective manipulations elsewhere. Umpolung tactics reverse the inherent polarity of functional groups to enable non-standard disconnections, often critical for assembling complex carbon frameworks. A seminal example is the dithiane anion, developed by and Seebach, which acts as an acyl anion equivalent ( of a carbonyl), allowing retrosynthetic disconnection of carbon-carbon bonds where a nucleophilic carbonyl would typically fail. The 1,3-dithiane masks the carbonyl, deprotonates to form the anion for addition to electrophiles, and is later hydrolyzed to regenerate the carbonyl, facilitating syntheses like those of α-hydroxy ketones. In applying these strategies, chemists prioritize FGIs and umpolung that simplify the core carbon skeleton by focusing on robust, late-stage introductions of sensitive groups, adhering to heuristics that avoid early incorporation of labile functionalities to minimize protection/deprotection steps and enhance overall efficiency.

Stereochemical Strategies

Stereochemical strategies in retrosynthetic analysis focus on planning synthetic routes that incorporate and control to achieve the desired absolute and relative of the target molecule. These approaches ensure that stereogenic centers are either preserved from starting materials, selectively generated during key transformations, or managed through temporary control elements, thereby minimizing risks and optimizing enantioselectivity. Central to this is the identification of stereosimplifying disconnections that reduce the number of chiral centers while maintaining spatial relationships, as outlined in foundational retrosynthetic frameworks. The chiral pool approach leverages enantiopure natural products, such as , , or carbohydrates, as starting materials to directly incorporate existing stereocenters into the retrosynthetic plan. This method simplifies stereochemical planning by aligning the target's with the inherent asymmetry of these precursors, avoiding the need for de novo asymmetric induction in early stages. For instance, in Ma's of (−)-englerin A, (R)-(+)- from the chiral pool served as a key building block, enabling stereoselective construction of the core framework via gold-catalyzed cyclization with high fidelity. Similarly, Jørgensen's synthesis of (+)-ingenol utilized (+)- to establish the in,out of its polycyclic system through a stereocontrolled two-phase assembly of the fused ring framework. This strategy is particularly effective for natural products, where the chiral pool provides scalable, low-cost access to . Asymmetric disconnection involves retrosynthetically breaking bonds adjacent to or involving stereogenic centers, with careful selection of transforms that predict and control the resulting . A prominent example is the retrosynthetic aldol disconnection, which anticipates syn or anti diastereoselectivity based on enolate geometry and reaction conditions, allowing planners to target specific relative configurations in β-hydroxy carbonyl products. In the synthesis of leukotriene A4, applied an asymmetric aldol disconnection using D-(-)-ribose-derived precursors to generate the requisite (5S,6R)- stereochemistry with high diastereoselectivity. This approach integrates stereoelectronic effects and reagent control to ensure the disconnection leads to synthons compatible with enantioselective forward reactions. Auxiliary-based strategies employ temporary chiral auxiliaries attached to the substrate during retrosynthetic planning to induce asymmetry in key steps, which are later cleaved to reveal the target stereochemistry. Oxazolidinone auxiliaries, developed by Evans, are widely used for their ability to direct high levels of enantiocontrol in aldol and reactions, facilitating disconnections at enolate sites. For example, in the of complex polyketides, the auxiliary enables >95% ee in asymmetric alkylations, with retrosynthetic removal planned as a final deprotection step. These auxiliaries are selected for their ease of attachment and removal, ensuring they do not interfere with other interconversions. Resolution tactics are incorporated in retrosynthetic planning for late-stage separation of enantiomers when asymmetric synthesis is inefficient, often using classical methods like diastereomeric salt formation with chiral acids. This approach is reserved for simpler intermediates to maximize yield, as in the resolution of racemic alcohols via enzymatic or chemical means before converging to the target. In prostaglandin syntheses, late-stage resolution of a key intermediate using (S,S)- achieved >10:1 diastereoselectivity, allowing efficient access to the (15S)-configuration. Such tactics are heuristically favored when the racemate is readily accessible and the resolution step aligns with convergent assembly. Heuristics in stereochemical retrosynthesis emphasize convergent routes that preserve stereointegrity by minimizing steps after chiral center formation, reducing cumulative epimerization risks. Convergent planning prioritizes disconnections leading to multiple stereochemically defined fragments assembled late, as seen in Corey's syntheses where independent preparation of chiral synthons ensured overall stereofidelity. This principle guides the selection of transforms that avoid stereolabile intermediates, favoring those with substrate bias or auxiliary control for robust stereoretention across the route.

Structure-Goal Strategies

Structure-goal strategies in retrosynthetic analysis emphasize the high-level architecture of the target molecule, directing the disconnection process toward predefined structural subgoals such as potential starting materials or key intermediates to streamline the planning of efficient synthetic routes. These strategies, introduced by E.J. Corey, prioritize reducing molecular complexity by focusing on the overall carbon skeleton and assembly logic rather than immediate reaction transforms, enabling bidirectional retrosynthetic exploration that converges on viable precursors. By setting structure-based goals (S-goals), chemists can narrow the search space and exploit natural or commercial building blocks early in the analysis. Skeletal disconnection forms the foundation of these strategies, targeting the carbon framework to fragment polycyclic or complex systems into simpler monocyclic or acyclic units. For instance, in the retrosynthesis of bridged-ring natural products like longifolene, disconnection of exendo bonds in the bicyclic yields monocyclic precursors, preserving the core while simplifying assembly. This approach is particularly effective for polycyclic targets, where initial breaks at peripheral or appendage bonds reduce and enable modular construction. A primary aim within structure-goal strategies is convergent synthesis, which designs routes featuring late-stage of independently synthesized fragments to minimize the longest linear sequence and enhance overall efficiency. Convergent planning targets disconnections that produce precursors of comparable complexity, as seen in the assembly of prostaglandins from the Corey intermediate, allowing parallel synthesis of side chains and reducing total steps compared to linear routes. This goal-oriented focus often results in pathways with fewer than 20 synthetic operations for complex targets, improving yield and . Modularity enhances the versatility of structure-goal strategies by emphasizing the construction of reusable subunits, such as stable ring systems or chiral fragments, that can be adapted across related targets. In synthesis, for example, a bicyclo[2.2.1]heptene core serves as a modular platform for multiple analogs, allowing disconnection to common precursors while facilitating late-stage diversification. This principle promotes economy in synthesis planning, particularly for families of products sharing architectural motifs. Heuristics guide the identification of strategic bonds—key connections whose retrosynthetic cleavage most effectively simplifies the goal structure by removing stereocenters or exploiting . Criteria include prioritizing bonds in primary rings or those enabling equal-complexity fragments, as in the double disconnection of squalene's to symmetric units. These rules ensure disconnections align with feasible forward syntheses, often intersecting briefly with topological considerations for geometric patterns. For natural products, biogenetic-like disconnections apply structure-goal principles by mirroring biosynthetic pathways, fragmenting the skeleton along plausible enzymatic assembly lines to leverage chiral pool materials. In the synthesis of eicosanoids like LTB4, retrosynthetic breaks emulate the conversion from LTA4 precursor, yielding linear chains from commercial fatty acids and preserving inherent . This not only simplifies routes but also validates hypothesized biogenetic origins, as demonstrated in antheridic acid .

Transform-Based Strategies

Transform-based strategies in retrosynthetic analysis rely on the application of transforms, which are defined as the exact reverse of known synthetic reactions, allowing chemists to systematically disconnect bonds or remove functional groups in a target to generate simpler precursors. These transforms operate on structural subunits called retrons, enabling the retrosynthetic simplification of complex structures. For instance, the reverse Diels-Alder transform can be applied to a ring, disconnecting it into a and dienophile, thereby reducing ring complexity in one step. Retrosynthetic trees are constructed by iteratively applying multiple transforms, starting from the target and branching to precursors, often facilitated by generators like EXPLOR within the program, which systematically explores pathways to identify viable routes. This process builds an extended target (EXTGT) tree, where each node represents an intermediate and edges denote transform applications, allowing for the evaluation of multi-step sequences. Transforms are selected and ranked based on criteria such as synthetic yield, reagent availability, and strategic simplification, prioritizing those that efficiently reduce molecular complexity while maintaining feasibility. A key limitation of transform-based strategies is the potential for , where exhaustive application of numerous transforms generates an unmanageable number of branches in the retrosynthetic tree. To address this, rules are employed to eliminate low-merit pathways, focusing on those with high strategic value. Heuristics guide the process by recommending the initial use of robust transforms, such as the reverse of , which reliably removes unsaturation and is broadly applicable due to its high yields and simple reagents.

Topological Strategies

Topological strategies in retrosynthetic analysis emphasize the abstract structural features of , treating them as graphs to guide disconnections that simplify connectivity without immediate consideration of functional groups or . In this approach, a is represented as a hydrogen-suppressed graph, where atoms serve as vertices and bonds as edges, allowing the identification of complex topological features such as rings, bridges, and spiro centers. Retrosynthetic disconnections correspond to the removal of specific edges, which fragments the graph into simpler substructures, thereby reducing overall . For instance, in polycyclic systems, disconnecting bonds or peripheral edges can yield acyclic precursors or smaller rings, facilitating the planning of convergent syntheses. This graph-theoretic framework provides a mathematical basis for evaluating potential disconnections, often quantified using topological indices like the number of subgraphs (N_S) or walk counts (twc), which measure changes in upon edge removal (ΔC = C_precursors - C_target < 0 for simplification). Exploiting is a core topological tactic, particularly for achiral targets possessing mirror planes, as it enables simultaneous disconnections of equivalent bonds to generate symmetric precursors and minimize synthetic steps. In such cases, a mirror plane bisects the target, allowing paired edges to be cleaved in a single retrosynthetic operation, which preserves in the resulting fragments and promotes efficient assembly. For example, in the retrosynthesis of or carpanone, symmetry-guided disconnections across a central mirror plane lead to identical synthons, reducing the need for asymmetric manipulations later. This strategy is especially powerful in natural products with bilateral , where it aligns with biological assembly pathways and enhances overall yield by avoiding redundant bond formations. Ring synthesis tactics within topological strategies focus on disassembling polycyclic architectures through retrosynthetic equivalents of cycloadditions or fragmentations, targeting fused, bridged, or spiro systems to reveal simpler cyclic or acyclic building blocks. Retrosynthetic cycloadditions, such as the reverse Diels-Alder ([4+2]) or [2+2] processes, open six- or four-membered rings by disconnecting correlated bond pairs, often applied to construct the core of complex terpenoids. For polycycles like arcutanes, an intramolecular Diels-Alder disconnection fragments a [6.6.5] system into a diene-dienophile pair, enabling convergent coupling. Complementarily, fragmentation tactics, including retro-Grob or retro-aldol cleavages, dismantle strained rings or bridgeheads, as seen in the retrosynthetic analysis of hetidine-to-arcutane rearrangements, where a cascade disconnection simplifies the topology into a linear precursor. These tactics prioritize central rings for late-stage closure while preserving stable motifs like aromatic rings. Heuristics in topological strategies favor disconnections that progressively increase graph simplicity, such as prioritizing the early opening of peripheral or strained rings to reduce cyclomatic number and branching. For bridged-ring systems, rules dictate targeting non-bridgehead bonds first (e.g., Rule 1: disconnect peripheral edges) to avoid topological impossibilities like violations in synthesis. Opening rings early, via overbred intermediates like cyclopropanes or cyclobutanes, allows subsequent cleavages (e.g., reductive ring opening) to yield linear chains, as exemplified in longifolene retrosynthesis where De Mayo annulation reverses to simplify the tricyclic core. This approach ensures hierarchical simplification, starting from the most complex topological subunit. Advanced topological methods incorporate through equivalence classes, formalized as Structure-Element-Connectivity-Stereochemistry (SECS) frameworks, to identify recurring subgraphs across diverse targets for reusable synthetic motifs. SECS classifies by their connectivity patterns, enabling systematic enumeration of disconnection networks in complex molecules and highlighting invariant topological elements like fused-ring junctions. This facilitates the disassembly of highly intricate carbogenic structures, such as bridged polycycles, by mapping equivalent classes to known transforms.

Modern Applications and Tools

Computer-Assisted Synthesis Planning

Computer-assisted synthesis planning emerged in the 1970s as a means to automate the application of retrosynthetic transforms, with the Logic and Heuristics Applied to Synthetic Analysis () program, developed by E. J. Corey at , serving as a foundational example. LHASA enabled chemists to interactively explore retrosynthetic trees by applying a database of predefined transforms to a target molecule, systematically disconnecting complex structures into simpler precursors while incorporating strategic heuristics to guide the search. This program facilitated the generation of viable synthetic routes for molecules like prostaglandins, emphasizing user interaction to refine pathways based on synthetic feasibility. Building on , later systems in the 1970s and 1980s advanced capabilities in handling and broader challenges. The SYNGEN program, created by James B. Hendrickson, focused on automated retrosynthetic design with explicit support for stereochemical considerations, generating multiple synthetic routes from an extensive catalog of approximately 6,000 starting materials using graph-based algorithms to enumerate possible constructions. These tools implemented transform-based strategies through software, allowing for the systematic exploration of synthetic possibilities. Core capabilities of these early systems centered on curated of retrosynthetic transforms—typically numbering in the hundreds to thousands—and search methods to prioritize promising routes, such as breadth-first pruned by structural simplicity or availability. For instance, LHASA's explorer module would apply transforms in a goal-directed manner, evaluating intermediates against known chemistry to construct branching retrosynthetic trees that could be navigated interactively. SYNGEN complemented this by incorporating topological analysis to ensure stereospecific constructions, producing concise route sets for complex targets like natural products. Despite these innovations, the systems faced significant limitations due to their rule-based nature, which restricted them to predefined transforms and often failed to propose routes for novel or unprecedented structures lacking analogous precedents in the database. Computational demands were also prohibitive before the 2000s, as exhaustive searches on even modest molecules could require hours or days on contemporary hardware, limiting practical use to academic settings with specialized equipment. pruning helped mitigate this but introduced biases toward familiar chemistry, reducing creativity in planning. Key milestones in the 1990s included the commercialization and enhanced integration of these programs with expansive chemical databases, such as the linkage of variants to Beilstein-derived resources (precursors to ), enabling automated validation of proposed reactions against precedents and improving route feasibility assessment. This era marked a shift toward more robust tools, with SYNGEN's methodology influencing subsequent database-driven enhancements for stereocontrolled syntheses.

Artificial Intelligence in Retrosynthesis

Artificial intelligence has transformed retrosynthetic analysis by enabling data-driven prediction of synthetic routes, surpassing traditional rule-based methods through learning from vast reaction datasets. Building on earlier computer-assisted synthesis planning tools, AI approaches automate the identification of viable disconnections and multi-step pathways with high accuracy and efficiency. These advancements, primarily post-2010, leverage to handle the combinatorial complexity of , facilitating the design of routes for novel and complex molecules. Machine learning techniques, particularly neural networks, have been pivotal in predicting retrosynthetic transforms by modeling reactions as sequence-to-sequence tasks or graph transformations. A prominent example is ASKCOS, developed at MIT, which employs neural networks trained on patent and data to suggest single-step retrosynthetic disconnections and integrates for exploring multi-step pathways. This system evaluates route feasibility by incorporating purchasability of precursors and reaction condition predictions, achieving successful planning for a wide range of pharmaceutical targets. Template-based AI systems further enhance retrosynthesis by extracting reaction templates from large datasets to propose disconnections. IBM's RXN for Chemistry, launched in , uses a transformer neural network architecture trained on millions of reactions to perform single- and multi-step retrosynthetic predictions, offering interpretable outputs with confidence scores. This tool has demonstrated top-1 accuracy exceeding 90% for single-step predictions on benchmark datasets, enabling practical applications in . Graph neural networks (GNNs) represent a key advancement by directly modeling molecular structures as graphs, where atoms are nodes and bonds are edges, to suggest disconnections while preserving structural context. Seminal work in this area includes the Conditional Graph Logic Network, which combines GNNs with probabilistic graphical models to predict reactants with , outperforming earlier sequence-based methods on diverse reaction types. GNNs excel in capturing and interactions, improving prediction for intricate scaffolds. AI-driven retrosynthesis has achieved notable success in handling complex molecules, such as natural products and pharmaceuticals, with systems like ASKCOS and RXN generating viable routes for targets requiring 10+ steps, often converging on syntheses comparable to expert designs. Integration with enhances feasibility assessment; for instance, hybrid AI-quantum workflows use calculations to validate predicted reactions, boosting reliability by filtering thermodynamically unfavorable paths. These capabilities have accelerated discovery in , reducing planning time from weeks to hours. Looking toward future trends as of 2025, AI in retrosynthesis is evolving toward fully end-to-end systems that couple planning with robotic execution in autonomous laboratories. Platforms like ASKCOS integrated with flow chemistry robots enable closed-loop optimization, where AI proposes routes, robotics synthesizes and analyzes products, and feedback refines models in real-time. Recent advancements as of 2025 include improved GNN-based models for multi-step planning with higher success rates in automated organic synthesis of bioactive compounds, demonstrating 70-80% overall assembly success in closed-loop systems. This integration promises scalable, on-demand synthesis of custom molecules.

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