Literature DB >> 6547445

Artificial intelligence in organic synthesis. SST: starting material selection strategies. An application of superstructure search.

W T Wipke, D Rogers.   

Abstract

A program for the interactive selection of potential starting materials given a desired target molecule is described. The program uses hierarchical search to rapidly select candidates from a large starting material library and contains a function to evaluate the appropriateness of the functionality of the starting material. The user can specify restrictions on features such as the number of atoms in the starting material, price limitations, chirality, and whether to use superstructure or substructure searching. Several examples of the results of the program are presented.

Mesh:

Year:  1984        PMID: 6547445     DOI: 10.1021/ci00042a005

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  2 in total

1.  Quantifying the chemical beauty of drugs.

Authors:  G Richard Bickerton; Gaia V Paolini; Jérémy Besnard; Sorel Muresan; Andrew L Hopkins
Journal:  Nat Chem       Date:  2012-01-24       Impact factor: 24.427

2.  Finding the K best synthesis plans.

Authors:  Rolf Fagerberg; Christoph Flamm; Rojin Kianian; Daniel Merkle; Peter F Stadler
Journal:  J Cheminform       Date:  2018-04-05       Impact factor: 5.514

  2 in total

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