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Spin models inferred from patient-derived viral sequence data faithfully describe HIV fitness landscapes.


ABSTRACT: Mutational escape from vaccine-induced immune responses has thwarted the development of a successful vaccine against AIDS, whose causative agent is HIV, a highly mutable virus. Knowing the virus' fitness as a function of its proteomic sequence can enable rational design of potent vaccines, as this information can focus vaccine-induced immune responses to target mutational vulnerabilities of the virus. Spin models have been proposed as a means to infer intrinsic fitness landscapes of HIV proteins from patient-derived viral protein sequences. These sequences are the product of nonequilibrium viral evolution driven by patient-specific immune responses and are subject to phylogenetic constraints. How can such sequence data allow inference of intrinsic fitness landscapes? We combined computer simulations and variational theory á la Feynman to show that, in most circumstances, spin models inferred from patient-derived viral sequences reflect the correct rank order of the fitness of mutant viral strains. Our findings are relevant for diverse viruses.

SUBMITTER: Shekhar K 

PROVIDER: S-EPMC5260469 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature

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Spin models inferred from patient-derived viral sequence data faithfully describe HIV fitness landscapes.

Shekhar Karthik K   Ruberman Claire F CF   Ferguson Andrew L AL   Barton John P JP   Kardar Mehran M   Chakraborty Arup K AK  

Physical review. E, Statistical, nonlinear, and soft matter physics 20131204 6


Mutational escape from vaccine-induced immune responses has thwarted the development of a successful vaccine against AIDS, whose causative agent is HIV, a highly mutable virus. Knowing the virus' fitness as a function of its proteomic sequence can enable rational design of potent vaccines, as this information can focus vaccine-induced immune responses to target mutational vulnerabilities of the virus. Spin models have been proposed as a means to infer intrinsic fitness landscapes of HIV proteins  ...[more]

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