Computational prediction of phytochemical inhibitors against the cap-binding domain of Rift Valley fever virus-Reference-Cited by-同舟云学术

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Computational prediction of phytochemical inhibitors against the cap-binding domain of Rift Valley fever virus

Published:2023-07-23 Issue: Volume: Page:
ISSN:1381-1991
Container-title:Molecular Diversity
language:en
Short-container-title:Mol Divers

Author:

Muralitharan Ishwarya,Sahoo Ajaya Kumar,Augusthian Priya Dharshini,Samal Areejit^ORCID

Funder

Department of Atomic Energy, Government of India

Max-Planck-Gesellschaft

Publisher

Springer Science and Business Media LLC

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Drug Discovery,Molecular Biology,General Medicine,Information Systems,Catalysis

Link

https://link.springer.com/content/pdf/10.1007/s11030-023-10702-x.pdf

Reference91 articles.

1. Ikegami T, Makino S (2011) The pathogenesis of rift valley fever. Viruses 3:493–519. https://doi.org/10.3390/v3050493

2. Hartman A (2017) Rift Valley fever. Clin Lab Med 37:285–301. https://doi.org/10.1016/j.cll.2017.01.004

3. Ikegami T (2012) Molecular biology and genetic diversity of Rift Valley fever virus. Antivir Res 95:293–310. https://doi.org/10.1016/j.antiviral.2012.06.001

4. Baba M, Masiga DK, Sang R, Villinger J (2019) Has Rift Valley fever virus evolved with increasing severity in human populations in East Africa? Emerg Microbes Infect 5:1–10. https://doi.org/10.1038/emi.2016.57

5. Wright D, Kortekaas J, Bowden TA, Warimwe GM (2019) Rift Valley fever: biology and epidemiology. J Gen Virol 100:1187–1199. https://doi.org/10.1099/jgv.0.001296

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