StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors-Reference-Cited by-同舟云学术

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StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors

Published:2021-10 Issue:10 Volume:35 Page:1037-1053
ISSN:0920-654X
Container-title:Journal of Computer-Aided Molecular Design
language:en
Short-container-title:J Comput Aided Mol Des

Author:

Malik Aijaz Ahmad,Chotpatiwetchkul Warot,Phanus-umporn Chuleeporn,Nantasenamat Chanin,Charoenkwan Phasit,Shoombuatong Watshara^ORCID

Funder

college of arts, media and technology, chiang mai university

chiang mai universit

mahidol university

kasetsart university research and development institute

Publisher

Springer Science and Business Media LLC

Subject

Physical and Theoretical Chemistry,Computer Science Applications,Drug Discovery

Link

https://link.springer.com/content/pdf/10.1007/s10822-021-00418-1.pdf

Reference67 articles.

1. Thrift AP, El-Serag HB, Kanwal F (2017) Global epidemiology and burden of HCV infection and HCV-related disease. Nat Rev Gastroenterol Hepatol 14(2):122–132

2. Khalid H et al (2020) Discovery of novel Hepatitis C virus inhibitor targeting multiple allosteric sites of NS5B polymerase. Infect Genet Evol 84:104371

3. Dubuisson J, Cosset FL (2014) Virology and cell biology of the hepatitis C virus life cycle: an update. J Hepatol 61(1):S3–S13

4. Pawlotsky JM, Chevaliez S, McHutchison JA (2007) The hepatitis C virus life cycle as a target for new antiviral therapies. Gastroenterology 132(5):1979–1998

5. Zajac M, Muszalska I, Sobczak A, Dadej A, Tomczak S, Jelinska A (2019) Hepatitis C-new drugs and treatment prospects. Eur J Med Chem 165:225–249

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