Literature DB >> 22866827

Frequency of occurrence and potency range distribution of activity cliffs in bioactive compounds.

Dagmar Stumpfe1, Jürgen Bajorath.   

Abstract

We have systematically identified activity cliffs in bioactive compounds for which high-confidence potency data were available. Different molecular representations were utilized and similarity and potency difference criteria for activity cliffs were clearly defined. Cliff formation was studied across the global potency range observed for qualifying bioactive compounds. Depending on the specific representation of activity cliffs, between ∼22% and 34% of all active compounds meeting the data selection criteria were involved in the formation of at least one activity cliff spanning a potency difference of at least two orders of magnitude. However, these cliffs involved only between ∼4.7% and ∼5.7% of all compound pairs meeting the similarity criteria. Hence, in light of these findings, the formation of well-defined activity cliffs is a relatively rare event. Moreover, the potency range distribution of activity cliffs was analyzed in detail, revealing that most activity cliffs were formed between compounds with micro- and nanomolar potency, consistent with the global distribution of potency data. On the basis of our analysis, we propose a general definition of activity cliffs for data mining.

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Year:  2012        PMID: 22866827     DOI: 10.1021/ci300288f

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


  5 in total

1.  Comparison of bioactive chemical space networks generated using substructure- and fingerprint-based measures of molecular similarity.

Authors:  Bijun Zhang; Martin Vogt; Gerald M Maggiora; Jürgen Bajorath
Journal:  J Comput Aided Mol Des       Date:  2015-06-07       Impact factor: 3.686

2.  Activity cliffs in PubChem confirmatory bioassays taking inactive compounds into account.

Authors:  Ye Hu; Gerald M Maggiora; Jürgen Bajorath
Journal:  J Comput Aided Mol Des       Date:  2013-01-08       Impact factor: 3.686

3.  Formation of activity cliffs is accompanied by systematic increases in ligand efficiency from lowly to highly potent compounds.

Authors:  Antonio de la Vega de León; Jürgen Bajorath
Journal:  AAPS J       Date:  2014-01-30       Impact factor: 4.009

4.  Advancing the activity cliff concept.

Authors:  Ye Hu; Dagmar Stumpfe; Jürgen Bajorath
Journal:  F1000Res       Date:  2013-09-30

Review 5.  Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently.

Authors:  Andrew Currin; Neil Swainston; Philip J Day; Douglas B Kell
Journal:  Chem Soc Rev       Date:  2015-03-07       Impact factor: 54.564

  5 in total

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