• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Computational analysis and modeling the effectiveness of 'Zanamivir' targeting neuraminidase protein in pandemic H1N1 strains

tetano

Editor, Senior Moderator
Infect Genet Evol. 2011 Apr 1. [Epub ahead of print]
Computational analysis and modeling the effectiveness of 'Zanamivir' targeting neuraminidase protein in pandemic H1N1 strains.

Gupta SK, Gupta SK, Smita S, Srivastava M, Lai X, Schmitz U, Rahman Q, Wolkenhauer O, Vera J.

Department of Bioinformatics, Indian Institute of Toxicology Research (CSIR), Lucknow, India; System Biology & Bioinformatics, University of Rostock, Rostock, Germany.
Abstract

Antigenic drift causes number of mutations in neuraminidase protein of H1N1 swine influenza virus. We analyzed neuraminidase mutations in H1N1 strains distributed over six continents, at both the sequence and structural level. Mutations in the nearby residues of the drug binding site play crucial role in the binding affinity of the drug with the protein. For this purpose, mutant models were generated for the neuraminidase protein from 34 pandemic H1N1 isolates and docking were performed with zanamivir drug. Multiple sequence alignment (MSA) and variations in docking score suggest that there are considerable changes in the binding affinity of neuraminidase with zanamivir, which leads to probable ineffectiveness of zanamivir in the isolated samples of pandemic H1N1 collected from quite a few countries. To further evaluate the effectiveness of antiviral drug, we derived, calibrated and analyze ordinary differential equations based mathematical model for H1N1 infection dynamics and drug mediated virus deactivation.
Copyright ? 2011. Published by Elsevier B.V.

PMID: 21463714 [PubMed - as supplied by publisher]

http://www.ncbi.nlm.nih.gov/pubmed/21463714
 
Re: Computational analysis and modeling the effectiveness of 'Zanamivir' targeting neuraminidase protein in pandemic H1N1 strains

Lol. Design a computer model that uses algorithims resistant to antivirals and then watch the antivirals being resistant. :applause:
 
Back
Top Bottom