Identification of drug resistance mutations in HIV from constraints on natural evolution

Thomas C. Butler, John P. Barton, Mehran Kardar, Arup K. Chakraborty

Research output: Contribution to journalArticlepeer-review

22 Scopus citations


Human immunodeficiency virus (HIV) evolves with extraordinary rapidity. However, its evolution is constrained by interactions between mutations in its fitness landscape. Here we show that an Ising model describing these interactions, inferred from sequence data obtained prior to the use of antiretroviral drugs, can be used to identify clinically significant sites of resistance mutations. Successful predictions of the resistance sites indicate progress in the development of successful models of real viral evolution at the single residue level and suggest that our approach may be applied to help design new therapies that are less prone to failure even where resistance data are not yet available.

Original languageEnglish
Article number022412
JournalPhysical Review E
Issue number2
StatePublished - 19 Feb 2016
Externally publishedYes

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© 2016 American Physical Society.


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