Literature DB >> 23050678

Matched molecular pair analysis of small molecule microarray data identifies promiscuity cliffs and reveals molecular origins of extreme compound promiscuity.

Dilyana Dimova1, Ye Hu, Jürgen Bajorath.   

Abstract

The study of compound promiscuity is a hot topic in medicinal chemistry and drug discovery research. Promiscuous compounds are increasingly identified, but the molecular basis of promiscuity is currently only little understood. Utilizing the matched molecular pair formalism, we have analyzed patterns of compound promiscuity in a publicly available small molecule microarray data set. On the basis of our analysis, we introduce "promiscuity cliffs" as pairs of structural analogs with single-site substitutions that lead to large-magnitude differences in apparent compound promiscuity involving between 50 and 97 unrelated targets. No substructures or substructure transformations have been detected that are generally responsible for introducing promiscuity. However, within a given structural context, small chemical replacements were found to lead to dramatic promiscuity effects. On the basis of our analysis, promiscuity is not an inherent feature of molecular scaffolds but can be induced by small chemical substitutions. Promiscuity cliffs provide immediate access to such modifications.

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Year:  2012        PMID: 23050678     DOI: 10.1021/jm301292a

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  13 in total

1.  Dark chemical matter as a promising starting point for drug lead discovery.

Authors:  Anne Mai Wassermann; Eugen Lounkine; Dominic Hoepfner; Gaelle Le Goff; Frederick J King; Christian Studer; John M Peltier; Melissa L Grippo; Vivian Prindle; Jianshi Tao; Ansgar Schuffenhauer; Iain M Wallace; Shanni Chen; Philipp Krastel; Amanda Cobos-Correa; Christian N Parker; John W Davies; Meir Glick
Journal:  Nat Chem Biol       Date:  2015-10-19       Impact factor: 15.040

2.  The importance of molecular complexity in the design of screening libraries.

Authors:  Shahul H Nilar; Ngai Ling Ma; Thomas H Keller
Journal:  J Comput Aided Mol Des       Date:  2013-09       Impact factor: 3.686

3.  Systematic computational identification of promiscuity cliff pathways formed by inhibitors of the human kinome.

Authors:  Filip Miljković; Martin Vogt; Jürgen Bajorath
Journal:  J Comput Aided Mol Des       Date:  2019-03-26       Impact factor: 3.686

4.  Structure-Promiscuity Relationship Puzzles-Extensively Assayed Analogs with Large Differences in Target Annotations.

Authors:  Ye Hu; Swarit Jasial; Erik Gilberg; Jürgen Bajorath
Journal:  AAPS J       Date:  2017-03-06       Impact factor: 4.009

5.  Promiscuity progression of bioactive compounds over time.

Authors:  Ye Hu; Swarit Jasial; Jürgen Bajorath
Journal:  F1000Res       Date:  2015-05-13

Review 6.  Exploring compound promiscuity patterns and multi-target activity spaces.

Authors:  Ye Hu; Disha Gupta-Ostermann; Jürgen Bajorath
Journal:  Comput Struct Biotechnol J       Date:  2014-01-29       Impact factor: 7.271

7.  Structural probing of off-target G protein-coupled receptor activities within a series of adenosine/adenine congeners.

Authors:  Silvia Paoletta; Dilip K Tosh; Daniela Salvemini; Kenneth A Jacobson
Journal:  PLoS One       Date:  2014-05-23       Impact factor: 3.240

8.  Activity artifacts in drug discovery and different facets of compound promiscuity.

Authors:  Jürgen Bajorath
Journal:  F1000Res       Date:  2014-10-03

9.  Cheminformatics analysis of the AR agonist and antagonist datasets in PubChem.

Authors:  Ming Hao; Stephen H Bryant; Yanli Wang
Journal:  J Cheminform       Date:  2016-07-08       Impact factor: 5.514

Review 10.  Entering the 'big data' era in medicinal chemistry: molecular promiscuity analysis revisited.

Authors:  Ye Hu; Jürgen Bajorath
Journal:  Future Sci OA       Date:  2017-03-06
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