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Computational drug design of novel COVID-19 inhibitor · Peerford

Article · Journal · 2022

Computational drug design of novel COVID-19 inhibitor

David Ebuka Arthur, Benjamin Osebi Elegbe, Augustina Oyibo Aroh, Mahmoud E. S. Soliman

Bulletin of the National Research Centre/Bulletin of the National Research Center

Open access · Diamond
International · 2 countries

Read it 10.1186/s42269-022-00892-z

Citations: 6from other works
Field-weighted impact: 0.791.00 is the world average for its field and year
Among its field: 73rd percentileby citations, against works of its field and year
Authors: 4from 4 institutions

Authors

4 authors across 4 institutions in 2 countries

David Ebuka ArthurFirst authorCorresponding
- University of Maiduguri (NG)
Benjamin Osebi Elegbe
- Baze University (NG)
Augustina Oyibo Aroh
- Ahmadu Bello University (NG)
Mahmoud E. S. SolimanSenior author
- University of KwaZulu-Natal (ZA)
as printed: Mahmoud Soliman

Development goals

3Good health and well-being

Countries on it

Nigeria
South Africa

Fields

A work can sit in several, each with a score

Computational Drug Discovery MethodsTopic
Diverse Scientific Research StudiesTopic
vaccines and immunoinformatics approachesTopic