CoronaPep: An Anti-Coronavirus Peptide Generation Tool

Aman Chandra Kaushik, Aamir Mehmood, Gurudeeban Selvaraj, Xiaofeng Dai, Yi Pan, Dong Qing Wei

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The novel coronavirus (COVID-19) infections have adopted the shape of a global pandemic now, demanding an urgent vaccine design. The current work reports contriving an anti-coronavirus peptide scanner tool to discern anti-coronavirus targets in the embodiment of peptides. The proffered CoronaPep tool features the fast fingerprinting of the anti-coronavirus target serving supreme prominence in the current bioinformatics research. The anti-coronavirus target protein sequences reported from the current outbreak are scanned against the anti-coronavirus target data-sets via CORONAPEP which provides precision-based anti-coronavirus peptides. This tool is specifically for the coronavirus data, which can predict peptides from the whole genome, or a gene or protein's list. Besides it is relatively fast, accurate, userfriendly and can generate maximum output from the limited information. The availability of tools like CORONAPEP will immeasurably perquisite researchers in the discipline of oncology and structure-based drug design.

Original languageEnglish
Article number9373952
Pages (from-to)1299-1304
Number of pages6
JournalIEEE/ACM Transactions on Computational Biology and Bioinformatics
Volume18
Issue number4
DOIs
StatePublished - 1 Jul 2021
Externally publishedYes

Keywords

  • Anti-coronavirus peptides
  • COVID-19
  • coronavirus
  • fingerprinting

ASJC Scopus subject areas

  • Biotechnology
  • Genetics
  • Applied Mathematics

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