Identification of vaccine candidate against Omicron variant of SARS-CoV-2 using immunoinformatic approaches.

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Bibliographic Details
Title: Identification of vaccine candidate against Omicron variant of SARS-CoV-2 using immunoinformatic approaches.
Authors: Aasim; Department of Pharmaceutical Biotechnology, Delhi Pharmaceutical Science, and Research University, New Delhi, 110017 India., Sharma R; Centre for Precision Medicine and Pharmacy, Delhi Pharmaceutical Science, and Research University, New Delhi, 110017 India., Patil CR; Department of Pharmacology, Delhi Pharmaceutical Science, and Research University, New Delhi, 110017 India., Kumar A; Department of Pharmacology, Delhi Pharmaceutical Science, and Research University, New Delhi, 110017 India., Sharma K; Department of Medicinal Chemistry, Delhi Pharmaceutical Science, and Research University, New Delhi, 110017 India.
Source: In silico pharmacology [In Silico Pharmacol] 2022 Jul 26; Vol. 10 (1), pp. 12. Date of Electronic Publication: 2022 Jul 26 (Print Publication: 2022).
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag, GmbH Country of Publication: Germany NLM ID: 101623954 Publication Model: eCollection Cited Medium: Print ISSN: 2193-9616 (Print) Linking ISSN: 21939616 NLM ISO Abbreviation: In Silico Pharmacol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:2193-9616
DOI:10.1007/s40203-022-00128-y