Literature DB >> 23121465

Molecular dynamics investigation on a series of HIV protease inhibitors: assessing the performance of MM-PBSA and MM-GBSA approaches.

Hemant Kumar Srivastava1, G Narahari Sastry.   

Abstract

The binding free energies (ΔG(Bind)) obtained from molecular mechanics with Poisson-Boltzmann surface area (MM-PBSA) or molecular mechanics with Generalized Born surface area (MM-GBSA) calculations using molecular dynamics (MD) trajectories are the most popular procedures to measure the strength of interactions between a ligand and its receptor. Several attempts have been made to correlate the ΔG(Bind) and experimental IC(50) values in order to observe the relationship between binding strength of a ligand (with its receptor) and its inhibitory activity. The duration of MD simulations seems very important for getting acceptable correlation. Here, we are presenting a systematic study to estimate the reasonable MD simulation time for acceptable correlation between ΔG(Bind) and experimental IC(50) values. A comparison between MM-PBSA and MM-GBSA approaches is also presented at various time scales. MD simulations (10 ns) for 14 HIV protease inhibitors have been carried out by using the Amber program. MM-PBSA/GBSA based ΔG(Bind) have been calculated and correlated with experimental IC(50) values at different time scales (0-1 to 0-10 ns). This study clearly demonstrates that the MM-PBSA based ΔG(Bind) (ΔG(Bind)-PB) values provide very good correlation with experimental IC(50) values (quantitative and qualitative) when MD simulation is carried out for a longer time; however, MM-GBSA based ΔG(Bind) (ΔG(Bind)-GB) values show acceptable correlation for shorter time of simulation also. The accuracy of ΔG(Bind)-PB increases and ΔG(Bind)-GB remains almost constant with the increasing time of simulation.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23121465     DOI: 10.1021/ci300385h

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  32 in total

1.  Exploring the drug resistance of V32I and M46L mutant HIV-1 protease to inhibitor TMC114: flap dynamics and binding mechanism.

Authors:  Biswa Ranjan Meher; Yixuan Wang
Journal:  J Mol Graph Model       Date:  2014-12-05       Impact factor: 2.518

2.  Comparison of affinity ranking using AutoDock-GPU and MM-GBSA scores for BACE-1 inhibitors in the D3R Grand Challenge 4.

Authors:  Léa El Khoury; Diogo Santos-Martins; Sukanya Sasmal; Jérôme Eberhardt; Giulia Bianco; Francesca Alessandra Ambrosio; Leonardo Solis-Vasquez; Andreas Koch; Stefano Forli; David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2019-11-06       Impact factor: 3.686

3.  Molecular docking and dynamic studies of crepiside E beta glucopyranoside as an inhibitor of snake venom PLA2.

Authors:  Mala S Kumar; Amjesh R; Silpa Bhaskaran; Delphin R D; Achuthsankar S Nair; Sudhakaran P R
Journal:  J Mol Model       Date:  2019-03-08       Impact factor: 1.810

4.  Exploration of the binding affinities between ecdysone agonists and EcR/USP by docking and MM-PB/GBSA approaches.

Authors:  Xueping Hu; Jin Xie; Song Hu; Li Zhang; Yanhong Dong
Journal:  J Mol Model       Date:  2017-04-24       Impact factor: 1.810

5.  Pyrazolo[3,4-d]pyrimidines as inhibitor of anti-coagulation and inflammation activities of phospholipase A 2 : insight from molecular docking studies.

Authors:  Umesh Yadava; Maheshwer Singh; Mihir Roychoudhury
Journal:  J Biol Phys       Date:  2013-02-23       Impact factor: 1.365

6.  Promising terpenes as SARS-CoV-2 spike receptor-binding domain (RBD) attachment inhibitors to the human ACE2 receptor: Integrated computational approach.

Authors:  Ziyad Tariq Muhseen; Alaa R Hameed; Halah M H Al-Hasani; Muhammad Tahir Ul Qamar; Guanglin Li
Journal:  J Mol Liq       Date:  2020-10-07       Impact factor: 6.165

7.  Exploring the free-energy landscape of carbohydrate-protein complexes: development and validation of scoring functions considering the binding-site topology.

Authors:  Sameh Eid; Noureldin Saleh; Adam Zalewski; Angelo Vedani
Journal:  J Comput Aided Mol Des       Date:  2014-09-10       Impact factor: 3.686

8.  Computational Investigation of the Binding Dynamics of Oligo p-Phenylene Ethynylene Fluorescence Sensors and Aβ Oligomers.

Authors:  Tye D Martin; Gabriella Brinkley; David G Whitten; Eva Y Chi; Deborah G Evans
Journal:  ACS Chem Neurosci       Date:  2020-11-03       Impact factor: 4.418

9.  Deciphering Complex Mechanisms of Resistance and Loss of Potency through Coupled Molecular Dynamics and Machine Learning.

Authors:  Florian Leidner; Nese Kurt Yilmaz; Celia A Schiffer
Journal:  J Chem Theory Comput       Date:  2021-03-30       Impact factor: 6.006

10.  Genotype-determined EGFR-RTK heterodimerization and its effects on drug resistance in lung Cancer treatment revealed by molecular dynamics simulations.

Authors:  Mengxu Zhu; Debby D Wang; Hong Yan
Journal:  BMC Mol Cell Biol       Date:  2021-06-10
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.