Literature DB >> 12069620

Ligand binding affinities from MD simulations.

Johan Aqvist1, Victor B Luzhkov, Bjørn O Brandsdal.   

Abstract

Simplified free energy calculations based on force field energy estimates of ligand-receptor interactions and thermal conformational sampling have emerged as a useful tool in structure-based ligand design. Here we give an overview of the linear interaction energy (LIE) method for calculating ligand binding free energies from molecular dynamics simulations. A notable feature is that the binding energetics can be predicted by considering only the intermolecular interactions of the ligand in the associated and dissociated states. The approximations behind this approach are examined, and different parametrizations of the model are discussed. LIE-type methods appear particularly promising for computational "lead optimization". Recent applications to protein-protein interactions and ion channel blocking are also discussed.

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Year:  2002        PMID: 12069620     DOI: 10.1021/ar010014p

Source DB:  PubMed          Journal:  Acc Chem Res        ISSN: 0001-4842            Impact factor:   22.384


  84 in total

1.  Revisiting free energy calculations: a theoretical connection to MM/PBSA and direct calculation of the association free energy.

Authors:  Jessica M J Swanson; Richard H Henchman; J Andrew McCammon
Journal:  Biophys J       Date:  2004-01       Impact factor: 4.033

2.  Trypsin specificity as elucidated by LIE calculations, X-ray structures, and association constant measurements.

Authors:  Hanna-Kirsti Schrøder Leiros; Bjørn Olav Brandsdal; Ole Andreas Andersen; Vibeke Os; Ingar Leiros; Ronny Helland; Jacek Otlewski; Nils Peder Willassen; Arne O Smalås
Journal:  Protein Sci       Date:  2004-04       Impact factor: 6.725

Review 3.  Prediction of protein-ligand binding affinity by free energy simulations: assumptions, pitfalls and expectations.

Authors:  Julien Michel; Jonathan W Essex
Journal:  J Comput Aided Mol Des       Date:  2010-05-28       Impact factor: 3.686

4.  Improved ligand-protein binding affinity predictions using multiple binding modes.

Authors:  Eva Stjernschantz; Chris Oostenbrink
Journal:  Biophys J       Date:  2010-06-02       Impact factor: 4.033

5.  Steered molecular dynamics simulations of ligand-receptor interaction in lipocalins.

Authors:  Janne Kalikka; Jaakko Akola
Journal:  Eur Biophys J       Date:  2010-11-13       Impact factor: 1.733

6.  Oxidative inhibition of Hsp90 disrupts the super-chaperone complex and attenuates pancreatic adenocarcinoma in vitro and in vivo.

Authors:  Sayantani Sarkar; Devawati Dutta; Suman Kumar Samanta; Kaushik Bhattacharya; Bikas Chandra Pal; Jinping Li; Kaustubh Datta; Chhabinath Mandal; Chitra Mandal
Journal:  Int J Cancer       Date:  2012-07-09       Impact factor: 7.396

7.  Molecular dynamics simulation and linear interaction energy study of D-Glu-based inhibitors of the MurD ligase.

Authors:  Andrej Perdih; Gerhard Wolber; Tom Solmajer
Journal:  J Comput Aided Mol Des       Date:  2013-08-30       Impact factor: 3.686

8.  Calculation of absolute protein-ligand binding affinity using path and endpoint approaches.

Authors:  Michael S Lee; Mark A Olson
Journal:  Biophys J       Date:  2005-11-11       Impact factor: 4.033

9.  Quantitative three dimensional structure linear interaction energy model of 5'-O-[N-(salicyl)sulfamoyl]adenosine and the aryl acid adenylating enzyme MbtA.

Authors:  Nicholas P Labello; Eric M Bennett; David M Ferguson; Courtney C Aldrich
Journal:  J Med Chem       Date:  2008-11-27       Impact factor: 7.446

Review 10.  Computations of standard binding free energies with molecular dynamics simulations.

Authors:  Yuqing Deng; Benoît Roux
Journal:  J Phys Chem B       Date:  2009-02-26       Impact factor: 2.991

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