Literature DB >> 31591964

Epistasis and entrenchment of drug resistance in HIV-1 subtype B.

Avik Biswas1,2, Allan Haldane1,2, Eddy Arnold3,4, Ronald M Levy1,2,5.   

Abstract

The development of drug resistance in HIV is the result of primary mutations whose effects on viral fitness depend on the entire genetic background, a phenomenon called 'epistasis'. Based on protein sequences derived from drug-experienced patients in the Stanford HIV database, we use a co-evolutionary (Potts) Hamiltonian model to provide direct confirmation of epistasis involving many simultaneous mutations. Building on earlier work, we show that primary mutations leading to drug resistance can become highly favored (or entrenched) by the complex mutation patterns arising in response to drug therapy despite being disfavored in the wild-type background, and provide the first confirmation of entrenchment for all three drug-target proteins: protease, reverse transcriptase, and integrase; a comparative analysis reveals that NNRTI-induced mutations behave differently from the others. We further show that the likelihood of resistance mutations can vary widely in patient populations, and from the population average compared to specific molecular clones.
© 2019, Biswas et al.

Entities:  

Keywords:  HIV; co-evolutionary model; computational biology; drug resistance; entrenchment; epistasis; physics of living systems; systems biology; virus

Mesh:

Substances:

Year:  2019        PMID: 31591964      PMCID: PMC6783267          DOI: 10.7554/eLife.50524

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  74 in total

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  7 in total

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2.  Drug Resistance Prediction Using Deep Learning Techniques on HIV-1 Sequence Data.

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6.  Limits to detecting epistasis in the fitness landscape of HIV.

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7.  The generative capacity of probabilistic protein sequence models.

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  7 in total

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