Predicting immune response targets in orthoflaviviruses through sequence homology and computational analysis-Reference-Cited by-同舟云学术

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Predicting immune response targets in orthoflaviviruses through sequence homology and computational analysis

Published:2024-07-31 Issue:8 Volume:30 Page:
ISSN:1610-2940
Container-title:Journal of Molecular Modeling
language:en
Short-container-title:J Mol Model

Author:

Are Venkata N.,Roy Rajarshi,Dhanda Sandeep Kumar,Neema Sanchit,Sahu Neha Rani,Adithya Nitin,Tiwari Ritudhwaj,Kar Parimal,Nayak Debasis

Funder

National post-doctoral fellowship, DST-SERB, Govt. of India

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00894-024-06088-8.pdf

Reference58 articles.

1. Shah SZ, Jabbar B, Ahmed N et al (2018) Epidemiology, pathogenesis, and control of a tick-borne disease- Kyasanur forest disease: current status and future directions. Front Cell Infect Microbiol 8:149. https://doi.org/10.3389/fcimb.2018.00149

2. Pattnaik P (2008) Kyasanur forest disease: an epidemiological view in India. Rev Med Virol 18:211–211. https://doi.org/10.1002/rmv.580

3. Murhekar MV, Kasabi GS, Mehendale SM et al (2015) On the transmission pattern of Kyasanur Forest disease (KFD) in India. Infect Dis Poverty 4:37. https://doi.org/10.1186/s40249-015-0066-9

4. Carletti F (2010) Alkhurma hemorrhagic fever in travelers returning from Egypt, 2010. Emerg Infect Dis. https://doi.org/10.3201/eid1612101092

5. Dodd KA, Bird BH, Jones MEB et al (2014) Kyasanur forest disease virus infection in mice is associated with higher morbidity and mortality than infection with the closely related Alkhurma hemorrhagic fever virus. PLoS ONE 9:e100301. https://doi.org/10.1371/journal.pone.0100301

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