Bioinformatics approach to predicting HIV drug resistance
Author:
Publisher
Informa UK Limited
Subject
Genetics,Molecular Biology,Molecular Medicine,Pathology and Forensic Medicine
Link
http://www.tandfonline.com/doi/pdf/10.1586/14737159.6.2.207
Reference44 articles.
1. HIV Drug Resistance
2. Computational methods for the design of effective therapies against drug resistant HIV strains
3. Systematic review and meta-analysis of evidence for increasing numbers of drugs in antiretroviral combination therapy
4. HIV Treatment Failure: Testing for HIV Resistance in Clinical Practice
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3. A Machine Learning Approach for Predicting HIV Reverse Transcriptase Mutation Susceptibility of Biologically Active Compounds;Journal of Chemical Information and Modeling;2018-06-28
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