Literature DB >> 21090736

Top leads for swine influenza A/H1N1 virus revealed by steered molecular dynamics approach.

Binh Khanh Mai1, Man Hoang Viet, Mai Suan Li.   

Abstract

Since March 2009, the rapid spread of infection during the recent A/H1N1 swine flu pandemic has raised concerns of a far more dangerous outcome should this virus become resistant to current drug therapies. Currently oseltamivir (tamiflu) is intensively used for the treatment of influenza and is reported effective for 2009 A/H1N1 virus. However, as this virus is evolving fast, some drug-resistant strains are emerging. Therefore, it is critical to seek alternative treatments and identify roots of the drug resistance. In this paper, we use the steered molecular dynamics (SMD) approach to estimate the binding affinity of ligands to the glycoprotein neuraminidase. Our idea is based on the hypothesis that the larger is the force needed to unbind a ligand from a receptor the higher its binding affinity. Using all-atom models with Gromos force field 43a1 and explicit water, we have studied the binding ability of 32 ligands to glycoprotein neuraminidase from swine flu virus A/H1N1. The electrostatic interaction is shown to play a more important role in binding affinity than the van der Waals one. We have found that four ligands 141562, 5069, 46080, and 117079 from the NSC set are the most promising candidates to cope with this virus, while peramivir, oseltamivir, and zanamivir are ranked 8, 11, and 20. The observation that these four ligands are better than existing commercial drugs has been also confirmed by our results on the binding free energies obtained by the molecular mechanics-Poisson-Boltzmann surface area (MM-PBSA) method. Our prediction may be useful for the therapeutic application.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 21090736     DOI: 10.1021/ci100346s

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


  23 in total

1.  Pharmacological inhibition of pleckstrin homology domain leucine-rich repeat protein phosphatase is neuroprotective: differential effects on astrocytes.

Authors:  Travis C Jackson; Jonathan D Verrier; Tomas Drabek; Keri Janesko-Feldman; Delbert G Gillespie; Thomas Uray; Cameron Dezfulian; Robert S Clark; Hülya Bayir; Edwin K Jackson; Patrick M Kochanek
Journal:  J Pharmacol Exp Ther       Date:  2013-09-10       Impact factor: 4.030

2.  Mutation effects of neuraminidases and their docking with ligands: a molecular dynamics and free energy calculation study.

Authors:  Zhiwei Yang; Gang Yang; Lijun Zhou
Journal:  J Comput Aided Mol Des       Date:  2013-11-12       Impact factor: 3.686

3.  A computationally affordable approach for accurate prediction of the binding affinity of JAK2 inhibitors.

Authors:  Nguyen Thi Mai; Ngo Thi Lan; Thien Y Vu; Nguyen Thanh Tung; Huong Thi Thu Phung
Journal:  J Mol Model       Date:  2022-05-23       Impact factor: 1.810

4.  Implementation of Telescoping Boxes in Adaptive Steered Molecular Dynamics.

Authors:  Yi Zhuang; Nikhil Thota; Stephen Quirk; Rigoberto Hernandez
Journal:  J Chem Theory Comput       Date:  2022-07-13       Impact factor: 6.578

5.  Ligand binding to anti-cancer target CD44 investigated by molecular simulations.

Authors:  Tin Trung Nguyen; Duy Phuoc Tran; Zung Hoang; Paolo Carloni; Phuc Van Pham; Chuong Nguyen; Mai Suan Li
Journal:  J Mol Model       Date:  2016-06-24       Impact factor: 1.810

6.  Targeting MIR155HG in glioma: a novel approach.

Authors:  Veerakumar Balasubramaniyan; Krishna P Bhat
Journal:  Neuro Oncol       Date:  2017-09-01       Impact factor: 12.300

7.  A steered molecular dynamics study of binding and translocation processes in the GABA transporter.

Authors:  Søren Skovstrup; Laurent David; Olivier Taboureau; Flemming Steen Jørgensen
Journal:  PLoS One       Date:  2012-06-21       Impact factor: 3.240

8.  Effects of water models on binding affinity: evidence from all-atom simulation of binding of tamiflu to A/H5N1 neuraminidase.

Authors:  Trang Truc Nguyen; Man Hoang Viet; Mai Suan Li
Journal:  ScientificWorldJournal       Date:  2014-02-02

9.  Revealing the binding modes and the unbinding of 14-3-3σ proteins and inhibitors by computational methods.

Authors:  Guodong Hu; Zanxia Cao; Shicai Xu; Wei Wang; Jihua Wang
Journal:  Sci Rep       Date:  2015-11-16       Impact factor: 4.379

10.  Human lactate dehydrogenase a inhibitors: a molecular dynamics investigation.

Authors:  Yun Shi; B Mario Pinto
Journal:  PLoS One       Date:  2014-01-17       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.