NipahVR: a Resource of Multi-targeted Putative Therapeutics and Epitopes for the Nipah Virus

Overview

Journal Database (Oxford)

Specialty Biology

Date 2020 Feb 25

PMID 32090261

Citations 5

Authors

Amit Kumar Gupta

Archit Kumar

Akanksha Rajput

Karambir Kaur

Showkat Ahmed Dar

Anamika Thakur

Kirti Megha

Manoj Kumar

Affiliations

Soon will be listed here.

Abstract

Nipah virus (NiV) is an emerging and priority pathogen from the Paramyxoviridae family with a high fatality rate. It causes various diseases such as respiratory ailments and encephalitis and poses a great threat to humans and livestock. Despite various efforts, there is no approved antiviral treatment available. Therefore, to expedite and assist the research, we have developed an integrative resource NipahVR (http://bioinfo.imtech.res.in/manojk/nipahvr/) for the multi-targeted putative therapeutics and epitopes for NiV. It is structured into different sections, i.e. genomes, codon usage, phylogenomics, molecular diagnostic primers, therapeutics (siRNAs, sgRNAs, miRNAs) and vaccine epitopes (B-cell, CTL, MHC-I and -II binders). Most decisively, potentially efficient therapeutic regimens targeting different NiV proteins and genes were anticipated and projected. We hope this computational resource would be helpful in developing combating strategies against this deadly pathogen. Database URL: http://bioinfo.imtech.res.in/manojk/nipahvr/.

Citing Articles

Novel "GaEl Antigenic Patches" Identified by a "Reverse Epitomics" Approach to Design Multipatch Vaccines against NIPAH Infection, a Silent Threat to Global Human Health.

Srivastava S, Kolbe M ACS Omega. 2023; 8(35):31698-31713.

PMID: 37692250 PMC: 10483669. DOI: 10.1021/acsomega.3c01909.

Exploring the structural basis to develop efficient multi-epitope vaccines displaying interaction with HLA and TAP and TLR3 molecules to prevent NIPAH infection, a global threat to human health.

Srivastava S, Verma S, Kamthania M, Saxena A, Pandey K, Pande V PLoS One. 2023; 18(3):e0282580.

PMID: 36920996 PMC: 10016716. DOI: 10.1371/journal.pone.0282580.

Computational Identification of Potential Multitarget Inhibitors of Nipah Virus by Molecular Docking and Molecular Dynamics.

Randhawa V, Pathania S, Kumar M Microorganisms. 2022; 10(6).

PMID: 35744699 PMC: 9227315. DOI: 10.3390/microorganisms10061181.

Identifying the natural polyphenol catechin as a multi-targeted agent against SARS-CoV-2 for the plausible therapy of COVID-19: an integrated computational approach.

Mishra C, Pandey P, Sharma R, Malik M, Mongre R, Lynn A Brief Bioinform. 2021; 22(2):1346-1360.

PMID: 33386025 PMC: 7799228. DOI: 10.1093/bib/bbaa378.

CoronaVR: A Computational Resource and Analysis of Epitopes and Therapeutics for Severe Acute Respiratory Syndrome Coronavirus-2.

Gupta A, Khan M, Choudhury S, Mukhopadhyay A, Sakshi , Rastogi A Front Microbiol. 2020; 11:1858.

PMID: 32849449 PMC: 7412965. DOI: 10.3389/fmicb.2020.01858.

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