Niraj, R. R. K. | bioRxiv Science

bioRxiv2020

Cloning and In silico characterization of Heat shock factor (Hsf2) from Wheat (Triticum aestivum L.)

A gene that encodes for Heat Shock Factor (Hsf) was characterized and designated as TaHsf2 (Gen Bank ID: KP063542) from wheat. The genomic sequence was found to be 1551bp long with open reading frame of length1123bp. The amino acid sequence so concluded showed to have HSF domain having high degree of similarity (homology) with other HSF coding gene of related species. We have reported in-silico three-dimensional model of TaHsf2 and evaluation of the predicted model, analysed with various tools. The sudden climatic variations over the years especially elevation in temperature has adversely affected the growth and productivity of winter wheat (Triticum aestivum L.). A very less number of HSFs is being reported and characterized in wheat and the data so available for wheat calls for investigation and characterization of more HSPs coding HSFs. In our present study we have cloned one of the novel HSFs and have characterized it through in silico tools.

molecular biology↗

bioRxiv2020

Identification of potential vaccine candidates against SARS-CoV-2, A step forward to fight novel coronavirus 2019-nCoV: A Reverse Vaccinology Approach

The recent Coronavirus Disease 2019 (COVID-19) causes an immense health crisis to global public health. The COVID-19 is the etiologic agent of a recently arose disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Presently, there is no vaccine available against this emerged viral disease. Therefore, it is indeed a need of the hour to develop an effectual and safe vaccine against this decidedly pandemic disease. In the current study, we collected SARS-CoV-2 genome which is prominent in India against human host, further more using reverse vaccinology here we claim effective vaccine candidates that can be mile stone in battle against COVID19. This novel study divulged one promising antigenic peptide GVYFASTEK from surface glycoprotein (protein accession no. - QIA98583.1) of SARS-CoV-2, which was predicated to be interacted with MHC alleles and showed up to 90% conservancy and high value of antigenicity. Subsequently, the molecular docking and simulation studies were verified molecular interaction of this prime antigenic peptide with the residues of HLA-A*11-01 allele for MHC Class I. After vigorous analysis, this peptide was predicted to be suitable epitope which is capable to induce the strong cell-mediated immune response against the SARS-CoV-2. Consequences from the current study could facilitate selecting SARS-CoV-2 epitopes for vaccine production pipelines in the immediate future. This novel research will certainly pave the way for a fast, reliable and virtuous platform to provide timely countermeasure of this dangerous pandemic disease, COVID-19.

bioinformatics↗