Literature DB >> 22612268

Ligand binding stepwise disrupts water network in thrombin: enthalpic and entropic changes reveal classical hydrophobic effect.

Adam Biela1, Frank Sielaff, Felix Terwesten, Andreas Heine, Torsten Steinmetzer, Gerhard Klebe.   

Abstract

Well-ordered water molecules are displaced from thrombin's hydrophobic S3/4-pocket by P3-varied ligands (Gly, d-Ala, d-Val, d-Leu to d-Cha with increased hydrophobicity and steric requirement). Two series with 2-(aminomethyl)-5-chlorobenzylamide and 4-amidinobenzylamide at P1 were examined by ITC and crystallography. Although experiencing different interactions in S1, they display almost equal potency. For both scaffolds the terminal benzylsulfonyl substituent differs in binding, whereas the increasingly bulky P3-groups address S3/4 pocket similarly. Small substituents leave the solvation pattern unperturbed as found in the uncomplexed enzyme while increasingly larger ones stepwise displace the waters. Medium-sized groups show patterns with partially occupied waters. The overall 40-fold affinity enhancement correlates with water displacement and growing number of van der Waals contacts and is mainly attributed to favorable entropy. Both Gly derivatives deviate from the series and adopt different binding modes. Nonetheless, their thermodynamic signatures are virtually identical with the homologous d-Ala derivatives. Accordingly, unchanged thermodynamic profiles are no reliable indicator for conserved binding modes.

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Year:  2012        PMID: 22612268     DOI: 10.1021/jm300337q

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


  15 in total

Review 1.  Thermodynamics of protein-ligand interactions as a reference for computational analysis: how to assess accuracy, reliability and relevance of experimental data.

Authors:  Stefan G Krimmer; Gerhard Klebe
Journal:  J Comput Aided Mol Des       Date:  2015-09-16       Impact factor: 3.686

2.  2D IR spectroscopy reveals the role of water in the binding of channel-blocking drugs to the influenza M2 channel.

Authors:  Ayanjeet Ghosh; Jun Wang; Yurii S Moroz; Ivan V Korendovych; Martin Zanni; William F DeGrado; Feng Gai; Robin M Hochstrasser
Journal:  J Chem Phys       Date:  2014-06-21       Impact factor: 3.488

Review 3.  Applying thermodynamic profiling in lead finding and optimization.

Authors:  Gerhard Klebe
Journal:  Nat Rev Drug Discov       Date:  2015-01-23       Impact factor: 84.694

4.  Biomacromolecular quantitative structure-activity relationship (BioQSAR): a proof-of-concept study on the modeling, prediction and interpretation of protein-protein binding affinity.

Authors:  Peng Zhou; Congcong Wang; Feifei Tian; Yanrong Ren; Chao Yang; Jian Huang
Journal:  J Comput Aided Mol Des       Date:  2013-01-10       Impact factor: 3.686

5.  Retroviral integrase: Structure, mechanism, and inhibition.

Authors:  Dario Oliveira Passos; Min Li; Robert Craigie; Dmitry Lyumkis
Journal:  Enzymes       Date:  2021-08-23

6.  Flooding enzymes: quantifying the contributions of interstitial water and cavity shape to ligand binding using extended linear response free energy calculations.

Authors:  Katie L Whalen; M Ashley Spies
Journal:  J Chem Inf Model       Date:  2013-09-06       Impact factor: 4.956

Review 7.  Water in protein hydration and ligand recognition.

Authors:  Manuela Maurer; Chris Oostenbrink
Journal:  J Mol Recognit       Date:  2019-08-27       Impact factor: 2.891

8.  The impact of introducing a histidine into an apolar cavity site on docking and ligand recognition.

Authors:  Matthew Merski; Brian K Shoichet
Journal:  J Med Chem       Date:  2013-03-20       Impact factor: 7.446

9.  Entropic and enthalpic contributions to stereospecific ligand binding from enhanced sampling methods.

Authors:  Balder Lai; Gabor Nagy; Jose Antonio Garate; Chris Oostenbrink
Journal:  J Chem Inf Model       Date:  2014-01-09       Impact factor: 4.956

10.  Allosteric Inhibition of Factor XIIIa. Non-Saccharide Glycosaminoglycan Mimetics, but Not Glycosaminoglycans, Exhibit Promising Inhibition Profile.

Authors:  Rami A Al-Horani; Rajesh Karuturi; Michael Lee; Daniel K Afosah; Umesh R Desai
Journal:  PLoS One       Date:  2016-07-28       Impact factor: 3.240

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