Literature DB >> 17849388

Accurate prediction of protonation state as a prerequisite for reliable MM-PB(GB)SA binding free energy calculations of HIV-1 protease inhibitors.

Kitiyaporn Wittayanarakul1, Supot Hannongbua, Michael Feig.   

Abstract

Binding free energies were calculated for the inhibitors lopinavir, ritonavir, saquinavir, indinavir, amprenavir, and nelfinavir bound to HIV-1 protease. An MMPB/SA-type analysis was applied to conformational samples from 3 ns explicit solvent molecular dynamics simulations of the enzyme-inhibitor complexes. Binding affinities and the sampled conformations of the inhibitor and enzyme were compared between different HIV-1 protease protonation states to find the most likely protonation state of the enzyme in the complex with each of the inhibitors. The resulting set of protonation states leads to good agreement between calculated and experimental binding affinities. Results from the MMPB/SA analysis are compared with an explicit/implicit hybrid scheme and with MMGB/SA methods. It is found that the inclusion of explicit water molecules may offer a slight advantage in reproducing absolute binding free energies while the use of the Generalized Born approximation significantly affects the accuracy of the calculated binding affinities. (c) 2007 Wiley Periodicals, Inc.

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Year:  2008        PMID: 17849388     DOI: 10.1002/jcc.20821

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  22 in total

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4.  Ranking ligand affinity for the DNA minor groove by experiment and simulation.

Authors:  Kitiyaporn Wittayanarakul; Nahoum G Anthony; Witcha Treesuwan; Supa Hannongbua; Hasan Alniss; Abedawn I Khalaf; Colin J Suckling; John A Parkinson; Simon P Mackay
Journal:  ACS Med Chem Lett       Date:  2010-07-30       Impact factor: 4.345

5.  Decomposing the energetic impact of drug resistant mutations in HIV-1 protease on binding DRV.

Authors:  Yufeng Cai; Celia A Schiffer
Journal:  J Chem Theory Comput       Date:  2010-04-13       Impact factor: 6.006

Review 6.  Protonation and pK changes in protein-ligand binding.

Authors:  Alexey V Onufriev; Emil Alexov
Journal:  Q Rev Biophys       Date:  2013-05       Impact factor: 5.318

7.  Statistics and physical origins of pK and ionization state changes upon protein-ligand binding.

Authors:  Boris Aguilar; Ramu Anandakrishnan; Jory Z Ruscio; Alexey V Onufriev
Journal:  Biophys J       Date:  2010-03-03       Impact factor: 4.033

8.  Drug-resistant molecular mechanism of CRF01_AE HIV-1 protease due to V82F mutation.

Authors:  Xiaoqing Liu; Zhilong Xiu; Ce Hao
Journal:  J Comput Aided Mol Des       Date:  2009-02-15       Impact factor: 3.686

9.  Automated site preparation in physics-based rescoring of receptor ligand complexes.

Authors:  Chaya S Rapp; Cheryl Schonbrun; Matthew P Jacobson; Chakrapani Kalyanaraman; Niu Huang
Journal:  Proteins       Date:  2009-10

10.  Multiscale generalized born modeling of ligand binding energies for virtual database screening.

Authors:  Hao-Yang Liu; Sam Z Grinter; Xiaoqin Zou
Journal:  J Phys Chem B       Date:  2009-09-03       Impact factor: 2.991

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