From HIV protein sequences to viral fitness landscapes: a new paradigm for in silico vaccine design by Ferguson, Andrew L., Chakraborty, Arup K.

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Translating HIV Sequences into Quantitative Fitness Landscapes Predicts Viral Vulnerabilities for Rational Immunogen Design by Ferguson, Andrew L., Mann, Jaclyn K., Omarjee, Saleha, Ndung'u, Thumbi, Walker, Bruce D., Chakraborty, Arup K., Ferguson, Andrew L.

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Spin models inferred from patient-derived viral sequence data faithfully describe HIV fitness landscapes by Shekhar, Karthik, Ruberman, Claire, Ferguson, Andrew L., Kardar, Mehran, Barton, John P., Chakraborty, Arup K

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Computational Prediction of Broadly Neutralizing HIV-1 Antibody Epitopes from Neutralization Activity Data by Ferguson, Andrew L., Falkowska, Emilia, Walker, Laura M., Seaman, Michael S., Burton, Dennis R., Chakraborty, Arup K

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The Fitness Landscape of HIV-1 Gag: Advanced Modeling Approaches and Validation of Model Predictions by In Vitro Testing by Mann, Jaclyn K., Barton, John P., Ferguson, Andrew L., Omarjee, Saleha, Walker, Bruce D., Ndung'u, Thumbi, Chakraborty, Arup K

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