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Predicting and designing therapeutics against the Nipah virus
Despite Nipah virus outbreaks having high mortality rates (>70% in Southeast Asia), there are no licensed drugs against it. In this study, we have considered all 9 Nipah proteins as potential therapeutic targets and computationally identified 4 putative peptide inhibitors (against G, F and M prot...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6907750/ https://www.ncbi.nlm.nih.gov/pubmed/31830030 http://dx.doi.org/10.1371/journal.pntd.0007419 |
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author | Sen, Neeladri Kanitkar, Tejashree Rajaram Roy, Ankit Animesh Soni, Neelesh Amritkar, Kaustubh Supekar, Shreyas Nair, Sanjana Singh, Gulzar Madhusudhan, M. S. |
author_facet | Sen, Neeladri Kanitkar, Tejashree Rajaram Roy, Ankit Animesh Soni, Neelesh Amritkar, Kaustubh Supekar, Shreyas Nair, Sanjana Singh, Gulzar Madhusudhan, M. S. |
author_sort | Sen, Neeladri |
collection | PubMed |
description | Despite Nipah virus outbreaks having high mortality rates (>70% in Southeast Asia), there are no licensed drugs against it. In this study, we have considered all 9 Nipah proteins as potential therapeutic targets and computationally identified 4 putative peptide inhibitors (against G, F and M proteins) and 146 small molecule inhibitors (against F, G, M, N, and P proteins). The computations include extensive homology/ab initio modeling, peptide design and small molecule docking. An important contribution of this study is the increased structural characterization of Nipah proteins by approximately 90% of what is deposited in the PDB. In addition, we have carried out molecular dynamics simulations on all the designed protein-peptide complexes and on 13 of the top shortlisted small molecule ligands to check for stability and to estimate binding strengths. Details, including atomic coordinates of all the proteins and their ligand bound complexes, can be accessed at http://cospi.iiserpune.ac.in/Nipah. Our strategy was to tackle the development of therapeutics on a proteome wide scale and the lead compounds identified could be attractive starting points for drug development. To counter the threat of drug resistance, we have analysed the sequences of the viral strains from different outbreaks, to check whether they would be sensitive to the binding of the proposed inhibitors. |
format | Online Article Text |
id | pubmed-6907750 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-69077502019-12-27 Predicting and designing therapeutics against the Nipah virus Sen, Neeladri Kanitkar, Tejashree Rajaram Roy, Ankit Animesh Soni, Neelesh Amritkar, Kaustubh Supekar, Shreyas Nair, Sanjana Singh, Gulzar Madhusudhan, M. S. PLoS Negl Trop Dis Research Article Despite Nipah virus outbreaks having high mortality rates (>70% in Southeast Asia), there are no licensed drugs against it. In this study, we have considered all 9 Nipah proteins as potential therapeutic targets and computationally identified 4 putative peptide inhibitors (against G, F and M proteins) and 146 small molecule inhibitors (against F, G, M, N, and P proteins). The computations include extensive homology/ab initio modeling, peptide design and small molecule docking. An important contribution of this study is the increased structural characterization of Nipah proteins by approximately 90% of what is deposited in the PDB. In addition, we have carried out molecular dynamics simulations on all the designed protein-peptide complexes and on 13 of the top shortlisted small molecule ligands to check for stability and to estimate binding strengths. Details, including atomic coordinates of all the proteins and their ligand bound complexes, can be accessed at http://cospi.iiserpune.ac.in/Nipah. Our strategy was to tackle the development of therapeutics on a proteome wide scale and the lead compounds identified could be attractive starting points for drug development. To counter the threat of drug resistance, we have analysed the sequences of the viral strains from different outbreaks, to check whether they would be sensitive to the binding of the proposed inhibitors. Public Library of Science 2019-12-12 /pmc/articles/PMC6907750/ /pubmed/31830030 http://dx.doi.org/10.1371/journal.pntd.0007419 Text en © 2019 Sen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Sen, Neeladri Kanitkar, Tejashree Rajaram Roy, Ankit Animesh Soni, Neelesh Amritkar, Kaustubh Supekar, Shreyas Nair, Sanjana Singh, Gulzar Madhusudhan, M. S. Predicting and designing therapeutics against the Nipah virus |
title | Predicting and designing therapeutics against the Nipah virus |
title_full | Predicting and designing therapeutics against the Nipah virus |
title_fullStr | Predicting and designing therapeutics against the Nipah virus |
title_full_unstemmed | Predicting and designing therapeutics against the Nipah virus |
title_short | Predicting and designing therapeutics against the Nipah virus |
title_sort | predicting and designing therapeutics against the nipah virus |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6907750/ https://www.ncbi.nlm.nih.gov/pubmed/31830030 http://dx.doi.org/10.1371/journal.pntd.0007419 |
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