Literature DB >> 16562989

The ROBIA program for predicting organic reactivity.

Ingrid M Socorro1, Jonathan M Goodman.   

Abstract

A program to predict organic reactions, ROBIA, has been developed. It achieves reaction prediction on the basis of coded rules and molecular modeling calculations, generating possible transition states, intermediates, and products given the starting material and reaction conditions. The program generates all possible reaction pathways, on the basis of the selected transformations within its database, and evaluates them selecting the most feasible ones. The program has been successfully tested against several examples.

Mesh:

Substances:

Year:  2006        PMID: 16562989     DOI: 10.1021/ci050379e

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  5 in total

1.  Computational assessment of synthetic procedures.

Authors:  Jonathan M Goodman; Ingrid M Socorro
Journal:  J Comput Aided Mol Des       Date:  2007-06-22       Impact factor: 3.686

2.  Planning chemical syntheses with deep neural networks and symbolic AI.

Authors:  Marwin H S Segler; Mike Preuss; Mark P Waller
Journal:  Nature       Date:  2018-03-28       Impact factor: 49.962

3.  Alternative methods of processing bio-feedstocks in formulated consumer product design.

Authors:  Nicolai Peremezhney; Philipp-Maximilian Jacob; Alexei Lapkin
Journal:  Front Chem       Date:  2014-05-13       Impact factor: 5.221

4.  LeadOp+R: Structure-Based Lead Optimization With Synthetic Accessibility.

Authors:  Fang-Yu Lin; Emilio Xavier Esposito; Yufeng J Tseng
Journal:  Front Pharmacol       Date:  2018-03-05       Impact factor: 5.810

5.  SAVI, in silico generation of billions of easily synthesizable compounds through expert-system type rules.

Authors:  Hitesh Patel; Wolf-Dietrich Ihlenfeldt; Philip N Judson; Yurii S Moroz; Yuri Pevzner; Megan L Peach; Victorien Delannée; Nadya I Tarasova; Marc C Nicklaus
Journal:  Sci Data       Date:  2020-11-11       Impact factor: 6.444

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.