Related Experiment Video
Updated: Aug 16, 2026

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
Computational methods for the design of effective therapies against drug resistant HIV strains
Niko Beerenwinkel1, Tobias Sing, Thomas Lengauer
1Department of Mathematics, University of California, Berkeley, CA, USA. niko@math.berkeley.edu
Abstract:
The development of drug resistance is a major obstacle to successful treatment of HIV infection. The extraordinary replication dynamics of HIV facilitates its escape from selective pressure exerted by the human immune system and by combination drug therapy. We have developed several computational methods whose combined use can support the design of optimal antiretroviral therapies based on viral genomic data.
Related Concept Videos
Retrovirus Life Cycles
Structure-Activity Relationships and Drug Design
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence its...
Antiviral Nucleoside Inhibitors
Treatment Resistant Cancers
Inhibitors of Virion Maturation and Assembly

