bioRxiv (Cold Spring Harbor Laboratory) · 2021 · 26 citations · 19 references
Veterinary MedicineImmunologyInfectious DiseasesProtein Structure PredictionStructural BioinformaticsVaccinologyAntibody DiscoveryAntibody StructureAntibody-antigen RecognitionVaccinationVaccine DevelopmentVaccines For Emerging PathogensAntibody Interaction ModelingAntibody-antigen Complex PredictionMedia AttentionProtein Structural ChangesSars-cov-2 InfectionVaccine Efficacy EvaluationVaccine Response ModelingVariant Adaptation
The genome of the SARS-CoV-2 Omicron variant (B.1.1.529) was released on November 22, 2021, which has caused a flurry of media attention due the large number of mutations it contains. These raw data have spurred questions around vaccine efficacy. Given that neither the structural information nor the experimentally-derived antibody interaction of this variant are available, we have turned to predictive computational methods to model the mutated structure of the spike protein’s receptor binding domain and posit potential changes to vaccine efficacy. In this study, we predict some structural changes in the receptor-binding domain that may reduce antibody interaction without completely evading existing neutralizing antibodies (and therefore current vaccines).
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Highly accurate protein structure prediction with AlphaFold
John Jumper, Alexander Pritzel, Tim Green et al. · Nature · 2021 · 45.2K citations · Full text
Accurate prediction of protein structures and interactions using a three-track neural network
Minkyung Baek, Frank DiMaio, Ivan Anishchenko et al. · Science · 2021 · 5.7K citations · Full text