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Retrosynthetic analysis

Technique for solving problems in the planning of organic syntheses

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Through Machine learning, Artificial intelligence and Deep learning

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. 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-off point for further steps developed to reach a synthesis.

There are 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 and Reaxys, have started to integrate deep learning into the conventional rule-based approaches.

Definitions

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.

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