ArticleMolecular biology and evolution2019
Constrained Mutational Sampling of Amino Acids in HIV-1 Protease Evolution.
Article in Molecular biology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- Mutational scan of self-cleavage by HIV-1 protease provides new views of a conformationally dynamic mechanism.Journal of virology · 2026Article
- Predicting the Impact of Drug Resistance Mutations on Inhibitor Potency with Molecular Dynamics and Machine Learning.The journal of physical chemistry. B · 2025Article
- Mutational scan of self-cleavage by HIV-1 protease provides new views of a conformationally dynamic mechanism.bioRxiv : the preprint server for biology · 2025Article
- Kinetic coevolutionary models predict the temporal emergence of HIV-1 resistance mutations under drug selection pressure.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Sequence dependencies and biophysical features both govern cleavage of diverse cut-sites by HIV protease.Protein science : a publication of the Protein Society · 2022Article
- Article
- Analyses of HIV proteases variants at the threshold of viability reveals relationships between processing efficiency and fitness.Virus evolution · 2021Article
- Predominance of positive epistasis among drug resistance-associated mutations in HIV-1 protease.PLoS genetics · 2020Article
- Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
The evolution of HIV-1 protein sequences should be governed by a combination of factors including nucleotide mutational probabilities, the genetic code, and fitness. The impact of these factors on protein sequence evolution is interdependent, making it challenging to infer the individual contribution of each factor from phylogenetic analyses alone. We investigated the protein sequence evolution of HIV-1 by determining an experimental fitness landscape of all individual amino acid changes in protease. We compared our experimental results to the frequency of protease variants in a publicly available data set of 32,163 sequenced isolates from drug-naïve individuals. The most common amino acids in sequenced isolates supported robust experimental fitness, indicating that the experimental fitness landscape captured key features of selection acting on protease during viral infections of hosts. Amino acid changes requiring multiple mutations from the likely ancestor were slightly less likely to support robust experimental fitness than single mutations, consistent with the genetic code favoring chemically conservative amino acid changes. Amino acids that were common in sequenced isolates were predominantly accessible by single mutations from the likely protease ancestor. Multiple mutations commonly observed in isolates were accessible by mutational walks with highly fit single mutation intermediates. Our results indicate that the prevalence of multiple-base mutations in HIV-1 protease is strongly influenced by mutational sampling.
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