Literature DB >> 9254912

Prediction of ligand-receptor binding thermodynamics by free energy force field (FEFF) 3D-QSAR analysis: application to a set of peptidometic renin inhibitors.

J S Tokarski1, A J Hopfinger.   

Abstract

A methodology is presented and applied in which the accurate estimation of ligand-receptor binding thermodynamics is achieved by formulating the calculation as a QSAR problem. When the receptor geometry is known, the free energy force field (FEFF) ligand-receptor binding energy terms can be calculated and used as independent variables in constructing FEFF 3D-QSARs. The FEFF 3D-QSAR analysis of a series of transition state inhibitors of renin was carried out. From a statistical analysis of the free energy contributions to the binding process, FEFF 3D-QSARs were constructed that reveal the change in solvation free energy upon binding and the intramolecular vacuum internal energy of the ligand in the unbound state are the most significant FEFF terms in determining the binding free energy, delta G. Other terms, such as ligand stretching, bending, and torsion energy changes, the intermolecular van der Waals interaction energy, and change in ligand conformational entropy upon binding, are also found to make significant contributions in some FEFF 3D-QSAR delta G models and in delta H and delta S binding models. Overall, a relatively small number of the thermodynamic contributions to the ligand-receptor binding process dominates the thermodynamics of binding in a given model.

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Year:  1997        PMID: 9254912     DOI: 10.1021/ci970006g

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  21 in total

1.  A CoMFA analysis with conformational propensity: an attempt to analyze the SAR of a set of molecules with different conformational flexibility using a 3D-QSAR method.

Authors:  K Gohda; I Mori; D Ohta; T Kikuchi
Journal:  J Comput Aided Mol Des       Date:  2000-03       Impact factor: 3.686

2.  A search for sources of drug resistance by the 4D-QSAR analysis of a set of antimalarial dihydrofolate reductase inhibitors.

Authors:  O A Santos-Filho; A J Hopfinger
Journal:  J Comput Aided Mol Des       Date:  2001-01       Impact factor: 3.686

3.  A comparative study of ligand-receptor complex binding affinity prediction methods based on glycogen phosphorylase inhibitors.

Authors:  S S So; M Karplus
Journal:  J Comput Aided Mol Des       Date:  1999-05       Impact factor: 3.686

4.  Modified AutoDock for accurate docking of protein kinase inhibitors.

Authors:  Oleksandr V Buzko; Anthony C Bishop; Kevan M Shokat
Journal:  J Comput Aided Mol Des       Date:  2002-02       Impact factor: 3.686

5.  Development of biologically active compounds by combining 3D QSAR and structure-based design methods.

Authors:  Wolfgang Sippl
Journal:  J Comput Aided Mol Des       Date:  2002-11       Impact factor: 3.686

6.  How to simulate affinities for host-guest systems lacking binding mode information: application to the liquid chromatographic separation of hexabromocyclododecane stereoisomers.

Authors:  Vedat Durmaz; Marcus Weber; Roland Becker
Journal:  J Mol Model       Date:  2011-10-12       Impact factor: 1.810

7.  Design and exploratory data analysis of a second generation of dendrimer prodrugs potentially antichagasic and leishmanicide.

Authors:  Jeanine Giarolla; Kerly Fernanda Mesquita Pasqualoto; Elizabeth I Ferreira
Journal:  Mol Divers       Date:  2013-08-29       Impact factor: 2.943

8.  A combination of docking, QM/MM methods, and MD simulation for binding affinity estimation of metalloprotein ligands.

Authors:  Akash Khandelwal; Viera Lukacova; Dogan Comez; Daniel M Kroll; Soumyendu Raha; Stefan Balaz
Journal:  J Med Chem       Date:  2005-08-25       Impact factor: 7.446

9.  Development of quantitative structure-binding affinity relationship models based on novel geometrical chemical descriptors of the protein-ligand interfaces.

Authors:  Shuxing Zhang; Alexander Golbraikh; Alexander Tropsha
Journal:  J Med Chem       Date:  2006-05-04       Impact factor: 7.446

10.  A comprehensive analysis of the thermodynamic events involved in ligand-receptor binding using CoRIA and its variants.

Authors:  Jitender Verma; Vijay M Khedkar; Arati S Prabhu; Santosh A Khedkar; Alpeshkumar K Malde; Evans C Coutinho
Journal:  J Comput Aided Mol Des       Date:  2008-01-25       Impact factor: 3.686

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