Structure-based drug designing and immunoinformatics approach for SARS-CoV-2

Author:

Panda Pritam Kumar1ORCID,Arul Murugan Natarajan2ORCID,Patel Paritosh3,Verma Suresh K.3ORCID,Luo Wei1ORCID,Rubahn Horst-Günter4ORCID,Mishra Yogendra Kumar5ORCID,Suar Mrutyunjay3ORCID,Ahuja Rajeev16ORCID

Affiliation:

1. Condensed Matter Theory Group, Materials Theory Division, Department of Physics and Astronomy, Uppsala University, Box 516, SE-751 20 Uppsala, Sweden.

2. Department of Theoretical Chemistry and Biology, Royal Institute of Technology (KTH), AlbaNova University Center, 106 91 Stockholm, Sweden.

3. School of Biotechnology, KIIT University, Bhubaneswar 751024, India.

4. Syddansk Universitet, Alsion 2, DK-6400 Sønderborg, Denmark.

5. Mads Clausen Institute, NanoSYD, University of Southern Denmark, Alsion 2, DK-6400 Sønderborg, Denmark.

6. Applied Materials Physics, Department of Materials Science and Engineering, Royal Institute of Technology (KTH), SE-100 44 Stockholm, Sweden.

Abstract

We report development of in-silico approaches for the identification of anti-coronaviral drugs against SARS-CoV-2.

Funder

Vetenskapsrådet

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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