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In silico study to identify novel potential thiadiazole-based molecules as anti-Covid-19 candidates by hierarchical virtual screening and molecular dynamics simulations

Crossref DOI link: https://doi.org/10.1007/s11224-022-01985-1

Published Online: 2022-06-15

Published Print: 2022-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Rashdan, Huda R. M.

Abdelmonsef, Aboubakr H. https://orcid.org/0000-0002-4616-0224
Funding

Funding for this research was provided by:

South Valley University
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Text and Data Mining valid from 2022-06-15

Version of Record valid from 2022-06-15
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Article History

Received: 18 April 2022

Accepted: 31 May 2022

First Online: 15 June 2022

Declarations

:

: The authors declare no competing interests.

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