Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sen, Neeladri, Kanitkar, Tejashree Rajaram, Roy, Ankit Animesh, Soni, Neelesh, Amritkar, Kaustubh, Supekar, Shreyas, Nair, Sanjana, Singh, Gulzar, Madhusudhan, M. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
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
_version_ 1783478588083798016
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
work_keys_str_mv AT senneeladri predictinganddesigningtherapeuticsagainstthenipahvirus
AT kanitkartejashreerajaram predictinganddesigningtherapeuticsagainstthenipahvirus
AT royankitanimesh predictinganddesigningtherapeuticsagainstthenipahvirus
AT sonineelesh predictinganddesigningtherapeuticsagainstthenipahvirus
AT amritkarkaustubh predictinganddesigningtherapeuticsagainstthenipahvirus
AT supekarshreyas predictinganddesigningtherapeuticsagainstthenipahvirus
AT nairsanjana predictinganddesigningtherapeuticsagainstthenipahvirus
AT singhgulzar predictinganddesigningtherapeuticsagainstthenipahvirus
AT madhusudhanms predictinganddesigningtherapeuticsagainstthenipahvirus