Literature DB >> 23186159

Systematic assessment of compound series with SAR transfer potential.

Bijun Zhang1, Anne Mai Wassermann, Martin Vogt, Jürgen Bajorath.   

Abstract

Compound series with different core structures that contain pairs of analogs with corresponding substitution patterns and similar activity represent structure-activity relationship (SAR) transfer events. On the basis of the matched molecular pair (MMP) formalism and linear regression analysis of compound potencies, a general approach is introduced for the identification of SAR transfer series (SAR-TS) and SAR-TS with regular potency progression (SAR-TS-RP). We have systematically extracted such series from public domain compound data and analyzed their size distribution and structural characteristics. More than 900 SAR-TS and 500 SAR-TS-RP with high-confidence potency annotations were identified in various compound activity classes. These series provide a substantial knowledge base for the analysis and prediction of SAR transfer and are made publicly available.

Mesh:

Year:  2012        PMID: 23186159     DOI: 10.1021/ci300481d

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


  4 in total

1.  The use of matched molecular series networks for cross target structure activity relationship translation and potency prediction.

Authors:  Christopher E Keefer; George Chang
Journal:  Medchemcomm       Date:  2017-10-11       Impact factor: 3.597

2.  Using matched molecular series as a predictive tool to optimize biological activity.

Authors:  Noel M O'Boyle; Jonas Boström; Roger A Sayle; Adrian Gill
Journal:  J Med Chem       Date:  2014-03-14       Impact factor: 7.446

3.  Matched molecular pair-based data sets for computer-aided medicinal chemistry.

Authors:  Ye Hu; Antonio de la Vega de León; Bijun Zhang; Jürgen Bajorath
Journal:  F1000Res       Date:  2014-02-04

4.  Follow up: Compound data sets and software tools for chemoinformatics and medicinal chemistry applications: update and data transfer.

Authors:  Ye Hu; Jürgen Bajorath
Journal:  F1000Res       Date:  2014-03-11
  4 in total

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