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Infect, replicate, and rapidly mutate: Computational virus modeling study

A new bioRxiv preprint study led by Barbara A Jones of IBM Research-Almaden in San Jose, California, used computational modeling to investigate how viruses rapidly mutate as well as how they respond or adapt to different host conditions. They observed a range of behaviors from glassy dynamics, bimodal quasispecies distributions, and periodic steady states.

Glycans strengthen interaction between viral spike proteins and ACE2 receptors on host cells

A new study shows that the ACE2 and RBD of coronavirus spike fragments have different binding strengths and dissociation rates when they are glycosylated and non-glycosylated.

AlphaFold AI predicts SARS-CoV-2 omicron variant might not evade antibody neutralization

Patient-specific whole-heart computational models provide insights for personalized treatment

Whole-heart ventricular modeling has come a long way in recent years and is currently witnessing the evolution of a variety of computational approaches, especially within the realm of personalized technologies for patient-specific clinical applications.

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