Vikas Kaushik

Dr. Vikas Kaushik

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Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2007 in LWT
Verified
Journal Article
Closed access
VKVikas Kaushik
Vikas Kaushik
YRYrjö H. Roos
Yrjö H. Roos

1 January 2020 in Informatics in Medicine Unlocked
Verified
Journal Article
Open access
AJAmit Joshi
Amit Joshi
BJBhuwan Chandra Joshi
Bhuwan Chandra Joshi
MMM. Amin-Ul Mannan
M. Amin-Ul Mannan
VKVikas Kaushik
Vikas Kaushik
A new virus termed SARS-COV-2 (causing COVID-19 disease) can exhibit a progressive, fatal impact on individuals. The World Health Organization (WHO) has declared the spread of the virus to be a global pandemic. Currently, there are over 1 million cases and over 100,000 confirmed deaths due to the virus. Hence, prophylactic and therapeutic strategies are promptly needed. In this study we report an epitope, ITLCFTLKR, which is biochemically fit to HLA allelic proteins. We propose that this could be used as a potential vaccine candidate against SARS-COV-2. A selected putative epitope and HLA-allelic complexes show not only better binding scores, but also RMSD values in the range of 0–1 Å. This epitope was found to have a 99.8% structural favorability as per Ramachandran-plot analysis. Similarly, a suitable range of IC50 values and population coverage was obtained to represent greater validation of T-cell epitope analysis. Stability analysis using MDWeb and half-life analysis using the ProtParam tool has confirmed that this epitope is well-selected. This new methodology of epitope-based vaccine prediction is fundamental and fast in application, ad can be economically beneficial and viable.

27 October 2022 in Viruses
Verified
Journal Article
Open access
PDF file
NANahid Akhtar
Nahid Akhtar
VKVikas Kaushik
Vikas Kaushik
RGRavneet K Grewal
Ravneet K Grewal
Atif Khurshid WaniAtif Khurshid Wani
Atif Khurshid Wani
CSChonticha Suwattanasophon
Chonticha Suwattanasophon
MCMohit Chawla
Mohit Chawla
Monkeypox is a self-limiting zoonotic viral disease and causes smallpox-like symptoms. The disease has a case fatality ratio of 3–6% and, recently, a multi-country outbreak of the disease has occurred. The currently available vaccines that have provided immunization against monkeypox are classified as live attenuated vaccinia virus-based vaccines, which pose challenges of safety and efficacy in chronic infections. In this study, we have used an immunoinformatics-aided design of a multi-epitope vaccine (MEV) candidate by targeting monkeypox virus (MPXV) glycoproteins and membrane proteins. From these proteins, seven epitopes (two T-helper cell epitopes, four T-cytotoxic cell epitopes and one linear B cell epitopes) were finally selected and predicted as antigenic, non-allergic, interferon-γ activating and non-toxic. These epitopes were linked to adjuvants to design a non-allergic and antigenic candidate MPXV-MEV. Further, molecular docking and molecular dynamics simulations predicted stable interactions between predicted MEV and human receptor TLR5. Finally, the immune-simulation analysis showed that the candidate MPXV-MEV could elicit a human immune response. The results obtained from these in silico experiments are promising but require further validation through additional in vivo experiments.

1 June 2021 in Microbial Pathogenesis
Verified
Journal Article
Closed access
NANahid Akhtar
Nahid Akhtar
AJAmit Joshi
Amit Joshi
VKVikas Kaushik
Vikas Kaushik
MKManish Kumar
Manish Kumar
MMM. Amin-Ul Mannan
M. Amin-Ul Mannan

1 January 2021 in Microbial Pathogenesis
Verified
Journal Article
Closed access
SGSunil Krishnan G
Sunil Krishnan G
AJAmit Joshi
Amit Joshi
NANahid Akhtar
Nahid Akhtar
VKVikas Kaushik
Vikas Kaushik

31 May 2021 in Network Modeling Analysis in Health Informatics and Bioinformatics
Verified
Journal Article
Closed access
PDF file
AJAmit Joshi
Amit Joshi
DPDinesh Chandra Pathak
Dinesh Chandra Pathak
MMM. Amin-Ul Mannan
M. Amin-Ul Mannan
VKVikas Kaushik
Vikas Kaushik