Literature DB >> 29024534

Rationalizing Promiscuity Cliffs.

Dilyana Dimova1, Jürgen Bajorath1.   

Abstract

Compound promiscuity can be viewed in different ways. We distinguish "bad" promiscuity resulting from chemical liabilities, nonspecific binding, or assay artifacts, from "good" promiscuity representing true multitarget activities. Investigating multitarget activities of small molecules is scientifically stimulating and therapeutically relevant. To better understand the molecular basis of multitarget activities, structure-promiscuity relationships (SPRs) are explored. For this purpose, "promiscuity cliffs" (PCs) have been introduced, which can be rationalized as an extension of the activity cliff (AC) concept. A PC is defined as a pair of structural analogues that are active against different numbers of targets (given a difference threshold). As discussed herein PCs frequently capture surprising SPRs and encode many experimentally testable hypotheses.
© 2018 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  active compounds; activity cliffs; multitarget activity; promiscuity cliffs; structure-promiscuity relationships

Mesh:

Substances:

Year:  2017        PMID: 29024534     DOI: 10.1002/cmdc.201700535

Source DB:  PubMed          Journal:  ChemMedChem        ISSN: 1860-7179            Impact factor:   3.466


  4 in total

1.  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

2.  Data structures for computational compound promiscuity analysis and exemplary applications to inhibitors of the human kinome.

Authors:  Filip Miljković; Jürgen Bajorath
Journal:  J Comput Aided Mol Des       Date:  2019-12-02       Impact factor: 3.686

3.  Advances in exploring activity cliffs.

Authors:  Dagmar Stumpfe; Huabin Hu; Jürgen Bajorath
Journal:  J Comput Aided Mol Des       Date:  2020-05-05       Impact factor: 3.686

4.  Identifying Promiscuous Compounds with Activity against Different Target Classes.

Authors:  Christian Feldmann; Filip Miljković; Dimitar Yonchev; Jürgen Bajorath
Journal:  Molecules       Date:  2019-11-18       Impact factor: 4.411

  4 in total

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