Literature DB >> 20420444

In silico identification of the potential drug resistance sites over 2009 influenza A (H1N1) virus neuraminidase.

Huanxiang Liu1, Xiaojun Yao, Chengqi Wang, Jian Han.   

Abstract

The outbreak and high speed global spread of the new strain of influenza A (H1N1) virus in 2009 poses a serious threat to the general population and governments. At present, the most effective drugs for the treatment of 2009 influenza A (H1N1) virus are neuraminidase inhibitors: mainly oseltamivir and zanamivir. The use of these two inhibitors will undoubtedly increase, and therefore it is more likely that drug-resistant influenza strains will arise. The identification of the potential resistance sites for these drugs in advance and the understanding of corresponding molecular basis to cause drug resistance are no doubt very important to fight against the new resistant influenza strains. In this study, first, the complexes of neuraminidase with the substrate sialic acid and two inhibitors oseltamivir and zanamivir were obtained by fitting them to the 3D structure of 2009 influenza A (H1N1) neuraminidase obtained by homology modeling. By using these complexes as the initial structures, molecular dynamics simulation and molecular mechanics generalized Born surface area (MM-GBSA) calculations were performed to identify the residues with significant contribution to the binding of substrate and inhibitors. By analyzing the difference of interaction profiles of substrate and inhibitors, the potential drug resistance sites for two inhibitors were identified. Parts of the identified sites have been verified to confer resistance to oseltamivir and zanamivir for influenza virus of the past flu epidemic. The identified potential resistance sites in this study will be useful for the development of new effective drugs against the drug resistance and avoid the situation of having no effective drugs to treat new mutant influenza strains.

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Year:  2010        PMID: 20420444     DOI: 10.1021/mp100041b

Source DB:  PubMed          Journal:  Mol Pharm        ISSN: 1543-8384            Impact factor:   4.939


  9 in total

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2.  Computational study on new natural polycyclic compounds of H1N1 influenza virus neuraminidase.

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7.  Discovery of Novel HPK1 Inhibitors Through Structure-Based Virtual Screening.

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Journal:  Front Pharmacol       Date:  2022-03-14       Impact factor: 5.810

8.  Molecular distribution of amino acid substitutions on neuraminidase from the 2009 (H1N1) human influenza pandemic virus.

Authors:  Miguelmiguel Quiliano; Hugo Valdivia-Olarte; Carlos Olivares; David Requena; Andrés H Gutiérrez; Paola Reyes-Loyola; Luis E Tolentino-Lopez; Patricia Sheen; Verónica Briz; Maria A Muñoz-Fernández; José Correa-Basurto; Mirko Zimic
Journal:  Bioinformation       Date:  2013-07-17

9.  Mixed Inhibition of cPEPCK by Genistein, Using an Extended Binding Site Located Adjacent to Its Catalytic Cleft.

Authors:  Shashank Prakash Katiyar; Arpit Jain; Jaspreet Kaur Dhanjal; Durai Sundar
Journal:  PLoS One       Date:  2015-11-03       Impact factor: 3.240

  9 in total

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