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Computational analysis of naturally occurring resistance-associated substitutions in genes NS3, NS5A, and NS5B among 86 subtypes of hepatitis C virus worldwide.

Ruihong WuDongfeng GengXiumei ChiXiaomei WangXiuzhu GaoHongqin XuYing ShiYazhe GuanYang WangJinglan JinYanhua DingJunqi Niu
Published in: Infection and drug resistance (2019)
Our data may be of special relevance for those countries where highly effective antivirals might not be available. Considering the specific RASs prevalence will help the clinicians to make optimal treatment choices. The RASs pairs would benefit anti-HCV drug development.
Keyphrases
  • hepatitis c virus
  • dengue virus
  • human immunodeficiency virus
  • risk factors
  • genome wide
  • electronic health record
  • palliative care
  • big data
  • aedes aegypti
  • artificial intelligence
  • bioinformatics analysis