Literature DB >> 19128212

Computational methods for calculation of ligand-binding affinity.

Walter Filgueira de Azevedo1, Raquel Dias.   

Abstract

Precise computational methods to determine ligand-binding affinity are needed to accelerate the discovery of new drugs. Assessing protein-ligand interaction is of great importance for virtual screening initiatives. The affinity may be computational evaluated using scoring functions involving terms for intermolecular hydrogen bonds, contact surface, hydrophobic contacts, electrostatic interactions and others. Empirical scoring functions have been developed to evaluate ligand-binding affinity very rapidly. In addition to predict affinity, these scoring functions have been employed to identify the best results obtained from docking simulations. This review describes several computational methods, employed to estimate ligand-binding affinity and discuss their development and main applications.

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Year:  2008        PMID: 19128212     DOI: 10.2174/138945008786949405

Source DB:  PubMed          Journal:  Curr Drug Targets        ISSN: 1389-4501            Impact factor:   3.465


  11 in total

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Journal:  Nat Rev Drug Discov       Date:  2011-12-16       Impact factor: 84.694

2.  Role of conserved glycine in zinc-dependent medium chain dehydrogenase/reductase superfamily.

Authors:  Manish Kumar Tiwari; Raushan Kumar Singh; Ranjitha Singh; Marimuthu Jeya; Huimin Zhao; Jung-Kul Lee
Journal:  J Biol Chem       Date:  2012-04-12       Impact factor: 5.157

Review 3.  Receptor-ligand molecular docking.

Authors:  Isabella A Guedes; Camila S de Magalhães; Laurent E Dardenne
Journal:  Biophys Rev       Date:  2013-12-21

4.  Targeting imidazoline site on monoamine oxidase B through molecular docking simulations.

Authors:  Fernanda Pretto Moraes; Walter Filgueira de Azevedo
Journal:  J Mol Model       Date:  2012-03-17       Impact factor: 1.810

5.  Free energies for coarse-grained proteins by integrating multibody statistical contact potentials with entropies from elastic network models.

Authors:  Michael T Zimmermann; Sumudu P Leelananda; Pawel Gniewek; Yaping Feng; Robert L Jernigan; Andrzej Kloczkowski
Journal:  J Struct Funct Genomics       Date:  2011-06-15

6.  Multibody coarse-grained potentials for native structure recognition and quality assessment of protein models.

Authors:  Pawel Gniewek; Sumudu P Leelananda; Andrzej Kolinski; Robert L Jernigan; Andrzej Kloczkowski
Journal:  Proteins       Date:  2011-04-19

7.  Molecular dynamics studies of a hexameric purine nucleoside phosphorylase.

Authors:  Fernando Berton Zanchi; Rafael Andrade Caceres; Rodrigo Guerino Stabeli; Walter Filgueira de Azevedo
Journal:  J Mol Model       Date:  2009-08-11       Impact factor: 1.810

8.  Molecular modeling and dynamics studies of purine nucleoside phosphorylase from Bacteroides fragilis.

Authors:  Ivani Pauli; Luis Fernando Saraiva Macedo Timmers; Rafael Andrade Caceres; Luiz Augusto Basso; Diógenes Santiago Santos; Walter Filgueira de Azevedo
Journal:  J Mol Model       Date:  2009-01-27       Impact factor: 1.810

9.  Regulation of protein-ligand binding affinity by hydrogen bond pairing.

Authors:  Deliang Chen; Numan Oezguen; Petri Urvil; Colin Ferguson; Sara M Dann; Tor C Savidge
Journal:  Sci Adv       Date:  2016-03-25       Impact factor: 14.136

10.  Molecular dynamic simulation reveals damaging impact of RAC1 F28L mutation in the switch I region.

Authors:  Ambuj Kumar; Vidya Rajendran; Rao Sethumadhavan; Rituraj Purohit
Journal:  PLoS One       Date:  2013-10-16       Impact factor: 3.240

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