Translating HIV sequences into quantitative fitness landscapes to predict viral vulnerabilities for rational immunogen design
نویسندگان
چکیده
1Department of Chemical Engineering, MIT, Cambridge, MA 02139, USA, 2Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Boston, MA 02129, USA, 3HIV Pathogenesis Programme, The Doris Duke Medical Research Institute, and KwaZulu-Natal Research Institute for Tuberculosis and HIV (K-RITH), University of KwaZulu-Natal, Durban 4013, South Africa, 4Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA, 5Departments of Chemistry and Physics, MIT, Cambridge, MA 02139, USA.
منابع مشابه
Translating HIV sequences into quantitative fitness landscapes predicts viral vulnerabilities for rational immunogen design.
A prophylactic or therapeutic vaccine offers the best hope to curb the HIV-AIDS epidemic gripping sub-Saharan Africa, but it remains elusive. A major challenge is the extreme viral sequence variability among strains. Systematic means to guide immunogen design for highly variable pathogens like HIV are not available. Using computational models, we have developed an approach to translate availabl...
متن کاملSpin models inferred from patient-derived viral sequence data faithfully describe HIV fitness landscapes.
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...
متن کاملSpin models inferred from patient-derived viral sequence data faithfully describe HIV fitness landscapes Citation
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Mutational escape from vaccine-induced immune responses has thwarted the development of a successful vaccine agains...
متن کاملCorrection: Realistic three dimensional fitness landscapes generated by Self Organizing Maps for the analysis of experimental HIV-1 evolution
Human Immunodeficiency Virus type 1 (HIV-1) because of high mutation rates, large population sizes, and rapid replication, exhibits complex evolutionary strategies. For the analysis of evolutionary processes, the graphical representation of fitness landscapes provides a significant advantage. The experimental determination of viral fitness remains, in general, difficult and consequently most pu...
متن کاملThe Fitness Landscape of HIV-1 Gag: Advanced Modeling Approaches and Validation of Model Predictions by In Vitro Testing
Viral immune evasion by sequence variation is a major hindrance to HIV-1 vaccine design. To address this challenge, our group has developed a computational model, rooted in physics, that aims to predict the fitness landscape of HIV-1 proteins in order to design vaccine immunogens that lead to impaired viral fitness, thus blocking viable escape routes. Here, we advance the computational models t...
متن کامل