Literature DB >> 23524195

Compound promiscuity: what can we learn from current data?

Ye Hu1, Jürgen Bajorath.   

Abstract

The specificity paradigm that assigns central relevance to achieving target specificity of drug candidates has recently been revisited. Evidence is mounting that polypharmacological drug behavior is often responsible for therapeutic efficacy suggesting the consideration of new drug development strategies. Target promiscuity of compounds is at the origin of polypharmacology. For many bioactive compounds, multiple target annotations are available indicating that compound promiscuity is a general phenomenon. However, careful analysis of compound activity data reveals that the degree of apparent promiscuity is strongly influenced by data selection criteria and the type of activity measurements that are considered. Furthermore, promiscuity involving unrelated targets is less common. Apparent target promiscuity might often better be interpreted as activity promiscuity in different assays.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23524195     DOI: 10.1016/j.drudis.2013.03.002

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  47 in total

1.  PDID: database of molecular-level putative protein-drug interactions in the structural human proteome.

Authors:  Chen Wang; Gang Hu; Kui Wang; Michal Brylinski; Lei Xie; Lukasz Kurgan
Journal:  Bioinformatics       Date:  2015-10-26       Impact factor: 6.937

2.  Systematic mining of analog series with related core structures in multi-target activity space.

Authors:  Disha Gupta-Ostermann; Ye Hu; Jürgen Bajorath
Journal:  J Comput Aided Mol Des       Date:  2013-08-24       Impact factor: 3.686

3.  Structural and Activity Profile Relationships Between Drug Scaffolds.

Authors:  Ye Hu; Jürgen Bajorath
Journal:  AAPS J       Date:  2015-02-20       Impact factor: 4.009

4.  Binding site characterization - similarity, promiscuity, and druggability.

Authors:  Christiane Ehrt; Tobias Brinkjost; Oliver Koch
Journal:  Medchemcomm       Date:  2019-06-06       Impact factor: 3.597

5.  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

6.  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

7.  Enhancing Molecular Promiscuity Evaluation Through Assay Profiles.

Authors:  Sorin Avram; Ramona Curpan; Alina Bora; Cristian Neanu; Liliana Halip
Journal:  Pharm Res       Date:  2018-10-18       Impact factor: 4.200

8.  Dark chemical matter in public screening assays and derivation of target hypotheses.

Authors:  Swarit Jasial; Jürgen Bajorath
Journal:  Medchemcomm       Date:  2017-10-26       Impact factor: 3.597

9.  Many approved drugs have bioactive analogs with different target annotations.

Authors:  Ye Hu; Eugen Lounkine; Jürgen Bajorath
Journal:  AAPS J       Date:  2014-05-29       Impact factor: 4.009

10.  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

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