Literature DB >> 24077530

Activity profile relationships between structurally similar promiscuous compounds.

Ye Hu1, Jürgen Bajorath.   

Abstract

Compound promiscuity results from specific interactions of a small molecule with multiple biological targets and is an emerging concept in medicinal chemistry and drug discovery as it provides the basis for polypharmacology. Recent studies have assessed the degree of promiscuity among drugs and bioactive compounds. On the basis of currently available data, many drugs and bioactive compounds have been found to interact with more than one target. Herein, we further extend the study of promiscuity by focusing on structurally similar promiscuous compounds, comparing their activity profiles, and determining multi-target activity patterns. The analysis revealed that most structurally similar promiscuous compounds have identical or similar activity profiles but also detected different types of structure-activity pattern relationships. In addition, the propensity of activity cliff formation among promiscuous compounds was determined. Activity cliffs were formed at a high rate among promiscuous compounds indicating that many structurally similar promiscuous compounds have greatly varying activity against one or more targets they share. Taken together, these findings show that compound promiscuity and target selectivity are not mutually exclusive and further refine current views of promiscuity.
Copyright © 2013 Elsevier Masson SAS. All rights reserved.

Keywords:  Activity cliffs; Activity patterns; Compound activity data; Compound promiscuity; Matched molecular pairs; Structural similarity; Target selectivity

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Year:  2013        PMID: 24077530     DOI: 10.1016/j.ejmech.2013.08.044

Source DB:  PubMed          Journal:  Eur J Med Chem        ISSN: 0223-5234            Impact factor:   6.514


  2 in total

1.  Monitoring drug promiscuity over time.

Authors:  Ye Hu; Jürgen Bajorath
Journal:  F1000Res       Date:  2014-09-11

2.  Cheminformatics analysis of molecular datasets of transcription factors associated with quorum sensing in Pseudomonas aeruginosa.

Authors:  Felipe Victoria-Muñoz; Norberto Sánchez-Cruz; José L Medina-Franco; Fabian Lopez-Vallejo
Journal:  RSC Adv       Date:  2022-02-28       Impact factor: 3.361

  2 in total

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