AI-Driven prediction of binding trends of SARS-CoV-2 variants from atomistic simulations
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DOI: 10.1016/j.bpj.2021.11.1211
Abstract: Protein-protein interactions are fundamental for cellular processes underlying functions such as signal transduction, cell regulation, or immune response activation among others. However, in silico characterization at atomistic level of the binding process between two proteins… read more here.
Keywords: driven prediction; two molecules; prediction binding; prediction ... See more keywords
Data-driven prediction of COVID-19 cases in Germany for decision making
Sign Up to like & getrecommendations! Published in 2022 at "BMC Medical Research Methodology"
DOI: 10.1186/s12874-022-01579-9
Abstract: Background The COVID-19 pandemic has led to a high interest in mathematical models describing and predicting the diverse aspects and implications of the virus outbreak. Model results represent an important part of the information base… read more here.
Keywords: driven prediction; model; covid; decision ... See more keywords