Literature DB >> 25559080

Additivity or cooperativity: which model can predict the influence of simultaneous incorporation of two or more functionalities in a ligand molecule?

Nader N Nasief1, David Hangauer2.   

Abstract

Predicting how binding affinity responds to ligand structural modifications in structure-activity relationship studies (SAR) is a major challenge in medicinal chemistry. This is particularly true when two or more of these modifications are carried out simultaneously. In this study, we present binding affinity data from several series of thermolysin inhibitors in which simultaneous structural modifications were investigated to determine whether they are cooperative or additive. Data revealed that, while additivity is at work in some cases, cooperativity is more commonly demonstrated. Cooperativity and additivity were then correlated with ligand descriptors, such as the spacing and the topological features of the modified groups, in a manner that may provide guidance as to when each model should be utilized. Cooperativity was particularly associated with contiguous groups and small unbranched hydrophobic side chain. Additivity, on the other hand, was associated with moderately distant hydrophobic group combinations and side chain branching. Such correlations can improve the predictability of SAR studies and can provide a starting point for additional investigations that may lead to further significant enhancements in the current scoring functions.
Copyright © 2014 Elsevier Masson SAS. All rights reserved.

Keywords:  Drug design; Lead optimization; Molecular recognition; Protein–ligand binding; Structure-activity relationship; Thermolysin

Mesh:

Substances:

Year:  2014        PMID: 25559080     DOI: 10.1016/j.ejmech.2014.11.056

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


  4 in total

1.  Theoretical investigation into the cooperativity effect between the intermolecular π∙π and H-bonding interactions in the curcumin∙cytosine∙H2O system.

Authors:  Jie Pan; Duan-Lin Cao; Fu-de Ren; Jian-Long Wang; Lu Yang
Journal:  J Mol Model       Date:  2018-09-28       Impact factor: 1.810

2.  Allosteric Mechanisms of Nonadditive Substituent Contributions to Protein-Ligand Binding.

Authors:  Stephen Boulton; Katherine Van; Bryan VanSchouwen; Jerry Augustine; Madoka Akimoto; Giuseppe Melacini
Journal:  Biophys J       Date:  2020-08-15       Impact factor: 4.033

3.  Adding Substituent Nonadditivity in Protein Allostery by NMR.

Authors:  Mary C Clay; Charalampos G Kalodimos
Journal:  Biophys J       Date:  2020-08-15       Impact factor: 4.033

4.  Efficient Hit-to-Lead Searching of Kinase Inhibitor Chemical Space via Computational Fragment Merging.

Authors:  Grigorii V Andrianov; Wern Juin Gabriel Ong; Ilya Serebriiskii; John Karanicolas
Journal:  J Chem Inf Model       Date:  2021-11-11       Impact factor: 4.956

  4 in total

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