Literature DB >> 8819979

Estimation of binding free energies for HIV proteinase inhibitors by molecular dynamics simulations.

T Hansson1, J Aqvist.   

Abstract

Absolute binding free energies for three inhibitors of HIV-1 proteinase were estimated from molecular dynamics simulations by a recently reported linear approximation procedure. The results were in fairly good agreement with experimental binding data. Two of the inhibitors were very similar and, for comparison, their relative free energies of binding were also calculated by free energy perturbation methods, giving virtually the same result. Effects of cut-off radii and charge states of the protein model were examined. The effects of pH on binding of one of the inhibitors were predicted.

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Year:  1995        PMID: 8819979     DOI: 10.1093/protein/8.11.1137

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  28 in total

1.  Does a diol cyclic urea inhibitor of HIV-1 protease bind tighter than its corresponding alcohol form? A study by free energy perturbation and continuum electrostatics calculations.

Authors:  L Wang; Y Duan; P Stouten; G V De Lucca; R M Klabe; P A Kollman
Journal:  J Comput Aided Mol Des       Date:  2001-02       Impact factor: 3.686

2.  Inhibition and substrate recognition--a computational approach applied to HIV protease.

Authors:  H M Vinkers; M R de Jonge; E D Daeyaert; J Heeres; L M H Koymans; J H van Lenthe; P J Lewi; H Timmerman; P A J Janssen
Journal:  J Comput Aided Mol Des       Date:  2003-09       Impact factor: 3.686

3.  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

4.  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

5.  Processing multimode binding situations in simulation-based prediction of ligand-macromolecule affinities.

Authors:  Akash Khandelwal; Viera Lukacova; Daniel M Kroll; Soumyendu Raha; Dogan Comez; Stefan Balaz
Journal:  J Phys Chem A       Date:  2005-07-28       Impact factor: 2.781

Review 6.  Identification of HIV inhibitors guided by free energy perturbation calculations.

Authors:  Orlando Acevedo; Zandrea Ambrose; Patrick T Flaherty; Hadega Aamer; Prashi Jain; Somisetti V Sambasivarao
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

7.  Experimental versus predicted affinities for ligand binding to estrogen receptor: iterative selection and rescoring of docked poses systematically improves the correlation.

Authors:  James S Wright; James M Anderson; Hooman Shadnia; Tony Durst; John A Katzenellenbogen
Journal:  J Comput Aided Mol Des       Date:  2013-08-24       Impact factor: 3.686

8.  Computation of affinity and selectivity: binding of 2,4-diaminopteridine and 2,4-diaminoquinazoline inhibitors to dihydrofolate reductases.

Authors:  J Marelius; M Graffner-Nordberg; T Hansson; A Hallberg; J Aqvist
Journal:  J Comput Aided Mol Des       Date:  1998-03       Impact factor: 3.686

9.  Screening of benzamidine-based thrombin inhibitors via a linear interaction energy in continuum electrostatics model.

Authors:  Orazio Nicolotti; Ilenia Giangreco; Teresa Fabiola Miscioscia; Marino Convertino; Francesco Leonetti; Leonardo Pisani; Angelo Carotti
Journal:  J Comput Aided Mol Des       Date:  2010-02-11       Impact factor: 3.686

10.  Absolute binding free energy calculations: on the accuracy of computational scoring of protein-ligand interactions.

Authors:  Nidhi Singh; Arieh Warshel
Journal:  Proteins       Date:  2010-05-15
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