Literature DB >> 21506273

Contribution of explicit solvent effects to the binding affinity of small-molecule inhibitors in blood coagulation factor serine proteases.

Robert Abel, Noeris K Salam, John Shelley, Ramy Farid, Richard A Friesner, Woody Sherman.   

Abstract

The prevention of blood coagulation is important in treating thromboembolic disorders, and several serine proteases involved in the coagulation cascade have been classified as pharmaceutically relevant. Whereas structure-based drug design has contributed to the development of some serine protease inhibitors, traditional computational methods have not been able to fully describe structure-activity relationships (SAR). Here, we study the SAR for a number of serine proteases by using a method that calculates the thermodynamic properties (enthalpy and entropy) of the water that solvates the active site. We show that the displacement of water from specific subpockets (such as S1-4 and the ester binding pocket) of the active site by the ligand can govern potency, especially for cases in which small chemical changes (i.e., a methyl group or halogen) result in a substantial increase in potency. Furthermore, we describe how relative binding free energies can be estimated by combining the water displacement energy with complementary terms from an implicit solvent molecular mechanics description binding.
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2011        PMID: 21506273     DOI: 10.1002/cmdc.201000533

Source DB:  PubMed          Journal:  ChemMedChem        ISSN: 1860-7179            Impact factor:   3.466


  33 in total

1.  Docking performance of the glide program as evaluated on the Astex and DUD datasets: a complete set of glide SP results and selected results for a new scoring function integrating WaterMap and glide.

Authors:  Matthew P Repasky; Robert B Murphy; Jay L Banks; Jeremy R Greenwood; Ivan Tubert-Brohman; Sathesh Bhat; Richard A Friesner
Journal:  J Comput Aided Mol Des       Date:  2012-05-11       Impact factor: 3.686

Review 2.  Docking Screens for Novel Ligands Conferring New Biology.

Authors:  John J Irwin; Brian K Shoichet
Journal:  J Med Chem       Date:  2016-03-15       Impact factor: 7.446

3.  Mechanism of the hydrophobic effect in the biomolecular recognition of arylsulfonamides by carbonic anhydrase.

Authors:  Phillip W Snyder; Jasmin Mecinovic; Demetri T Moustakas; Samuel W Thomas; Michael Harder; Eric T Mack; Matthew R Lockett; Annie Héroux; Woody Sherman; George M Whitesides
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-19       Impact factor: 11.205

4.  Exploring conformational search protocols for ligand-based virtual screening and 3-D QSAR modeling.

Authors:  Daniel Cappel; Steven L Dixon; Woody Sherman; Jianxin Duan
Journal:  J Comput Aided Mol Des       Date:  2014-11-19       Impact factor: 3.686

5.  Design, synthesis and evaluation of marinopyrrole derivatives as selective inhibitors of Mcl-1 binding to pro-apoptotic Bim and dual Mcl-1/Bcl-xL inhibitors.

Authors:  Chunwei Cheng; Maria E Balasis; Yan Liu; Thomas P Garner; Rongshi Li; Kenyon G Daniel; Jerry Li; Yong Qin; Evripidis Gavathiotis; Said M Sebti
Journal:  Eur J Med Chem       Date:  2014-11-20       Impact factor: 6.514

Review 6.  Applying thermodynamic profiling in lead finding and optimization.

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

Review 7.  Relationship between Solvation Thermodynamics from IST and DFT Perspectives.

Authors:  Ronald M Levy; Di Cui; Bin W Zhang; Nobuyuki Matubayasi
Journal:  J Phys Chem B       Date:  2017-02-28       Impact factor: 2.991

8.  Grid inhomogeneous solvation theory: hydration structure and thermodynamics of the miniature receptor cucurbit[7]uril.

Authors:  Crystal N Nguyen; Tom Kurtzman Young; Michael K Gilson
Journal:  J Chem Phys       Date:  2012-07-28       Impact factor: 3.488

9.  Protein and ligand preparation: parameters, protocols, and influence on virtual screening enrichments.

Authors:  G Madhavi Sastry; Matvey Adzhigirey; Tyler Day; Ramakrishna Annabhimoju; Woody Sherman
Journal:  J Comput Aided Mol Des       Date:  2013-04-12       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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