Literature DB >> 23981118

Recent progress in understanding activity cliffs and their utility in medicinal chemistry.

Dagmar Stumpfe1, Ye Hu, Dilyana Dimova, Jürgen Bajorath.   

Abstract

The activity cliff concept is of high relevance for medicinal chemistry. Recent studies are discussed that have further refined our understanding of activity cliffs and suggested different ways of exploiting activity cliff information. These include alternative approaches to define and classify activity cliffs in two and three dimensions, data mining investigations to systematically detect all possible activity cliffs, the introduction of computational methods to predict activity cliffs, and studies designed to explore activity cliff progression in medicinal chemistry. The discussion of these studies is complemented with new findings revealing the frequency of activity cliff formation when different molecular representations are used and the distribution of activity cliffs across different targets. Taken together, the results have a number of implications for the practice of medicinal chemistry.

Mesh:

Year:  2013        PMID: 23981118     DOI: 10.1021/jm401120g

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  39 in total

1.  Design of chemical space networks using a Tanimoto similarity variant based upon maximum common substructures.

Authors:  Bijun Zhang; Martin Vogt; Gerald M Maggiora; Jürgen Bajorath
Journal:  J Comput Aided Mol Des       Date:  2015-09-29       Impact factor: 3.686

2.  Dark chemical matter as a promising starting point for drug lead discovery.

Authors:  Anne Mai Wassermann; Eugen Lounkine; Dominic Hoepfner; Gaelle Le Goff; Frederick J King; Christian Studer; John M Peltier; Melissa L Grippo; Vivian Prindle; Jianshi Tao; Ansgar Schuffenhauer; Iain M Wallace; Shanni Chen; Philipp Krastel; Amanda Cobos-Correa; Christian N Parker; John W Davies; Meir Glick
Journal:  Nat Chem Biol       Date:  2015-10-19       Impact factor: 15.040

3.  Activity landscape analysis of novel 5α-reductase inhibitors.

Authors:  J Jesús Naveja; Francisco Cortés-Benítez; Eugene Bratoeff; José L Medina-Franco
Journal:  Mol Divers       Date:  2016-02-01       Impact factor: 2.943

4.  QSAR modeling: where have you been? Where are you going to?

Authors:  Artem Cherkasov; Eugene N Muratov; Denis Fourches; Alexandre Varnek; Igor I Baskin; Mark Cronin; John Dearden; Paola Gramatica; Yvonne C Martin; Roberto Todeschini; Viviana Consonni; Victor E Kuz'min; Richard Cramer; Romualdo Benigni; Chihae Yang; James Rathman; Lothar Terfloth; Johann Gasteiger; Ann Richard; Alexander Tropsha
Journal:  J Med Chem       Date:  2014-01-06       Impact factor: 7.446

5.  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

6.  Introducing a new category of activity cliffs combining different compound similarity criteria.

Authors:  Huabin Hu; Jürgen Bajorath
Journal:  RSC Med Chem       Date:  2020-01-07

7.  Molecular Scaffold Hopping via Holistic Molecular Representation.

Authors:  Francesca Grisoni; Gisbert Schneider
Journal:  Methods Mol Biol       Date:  2021

8.  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

9.  Design of an activity landscape view taking compound-based feature probabilities into account.

Authors:  Bijun Zhang; Martin Vogt; Jürgen Bajorath
Journal:  J Comput Aided Mol Des       Date:  2014-07-08       Impact factor: 3.686

10.  Structure-based predictions of activity cliffs.

Authors:  Jarmila Husby; Giovanni Bottegoni; Irina Kufareva; Ruben Abagyan; Andrea Cavalli
Journal:  J Chem Inf Model       Date:  2015-05-11       Impact factor: 4.956

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