Literature DB >> 24437577

Composition and topology of activity cliff clusters formed by bioactive compounds.

Dagmar Stumpfe1, Dilyana Dimova, Jürgen Bajorath.   

Abstract

The assessment of activity cliffs has thus far mostly focused on compound pairs, although the majority of activity cliffs are not formed in isolation but in a coordinated manner involving multiple active compounds and cliffs. However, the composition of coordinated activity cliff configurations and their topologies are unknown. Therefore, we have identified all activity cliff configurations formed by currently available bioactive compounds and analyzed them in network representations where activity cliff configurations occur as clusters. The composition, topology, frequency of occurrence, and target distribution of activity cliff clusters have been determined. A limited number of large cliff clusters with unique topologies were identified that were centers of activity cliff formation. These clusters originated from a small number of target sets. However, most clusters were of small to moderate size. Three basic topologies were sufficient to describe recurrent activity cliff cluster motifs/topologies. For example, frequently occurring clusters with star topology determined the scale-free character of the global activity cliff network and represented a characteristic activity cliff configuration. Large clusters with complex topology were often found to contain different combinations of basic topologies. Our study provides a first view of activity cliff configurations formed by currently available bioactive compounds and of the recurrent topologies of activity cliff clusters. Activity cliff clusters of defined topology can be selected, and from compounds forming the clusters, SAR information can be obtained. The SAR information of activity cliff clusters sharing a/one specific activity and topology can be compared.

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Year:  2014        PMID: 24437577     DOI: 10.1021/ci400728r

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


  9 in total

1.  Design and characterization of chemical space networks for different compound data sets.

Authors:  Magdalena Zwierzyna; Martin Vogt; Gerald M Maggiora; Jürgen Bajorath
Journal:  J Comput Aided Mol Des       Date:  2014-12-03       Impact factor: 3.686

2.  Chemical space networks: a powerful new paradigm for the description of chemical space.

Authors:  Gerald M Maggiora; Jürgen Bajorath
Journal:  J Comput Aided Mol Des       Date:  2014-06-13       Impact factor: 3.686

3.  Lessons learned from the design of chemical space networks and opportunities for new applications.

Authors:  Martin Vogt; Dagmar Stumpfe; Gerald M Maggiora; Jürgen Bajorath
Journal:  J Comput Aided Mol Des       Date:  2016-03-05       Impact factor: 3.686

Review 4.  Matched Molecular Pair Analysis in Short: Algorithms, Applications and Limitations.

Authors:  Christian Tyrchan; Emma Evertsson
Journal:  Comput Struct Biotechnol J       Date:  2016-12-13       Impact factor: 7.271

5.  Simplified activity cliff network representations with high interpretability and immediate access to SAR information.

Authors:  Huabin Hu; Jürgen Bajorath
Journal:  J Comput Aided Mol Des       Date:  2020-06-05       Impact factor: 3.686

6.  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

7.  Systematic identification of target set-dependent activity cliffs.

Authors:  Huabin Hu; Dagmar Stumpfe; Jürgen Bajorath
Journal:  Future Sci OA       Date:  2019-01-18

8.  DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach.

Authors:  Yash Khemchandani; Stephen O'Hagan; Soumitra Samanta; Neil Swainston; Timothy J Roberts; Danushka Bollegala; Douglas B Kell
Journal:  J Cheminform       Date:  2020-09-04       Impact factor: 5.514

9.  Advancing the activity cliff concept, part II.

Authors:  Dagmar Stumpfe; Antonio de la Vega de León; Dilyana Dimova; Jürgen Bajorath
Journal:  F1000Res       Date:  2014-03-18
  9 in total

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