首页|Findings from California Institute of Technology (Caltech) RevealsNew Findings on Machine Learning (Machine-learning-based Structural Analysis of Interactions Between Antibodies and Antigens)
Findings from California Institute of Technology (Caltech) RevealsNew Findings on Machine Learning (Machine-learning-based Structural Analysis of Interactions Between Antibodies and Antigens)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news originating fromPasadena, California, by NewsRx c orrespondents, research stated, “Computational analysis of paratopeepitopeinte ractions between antibodies and their corresponding antigens can facilitate our understandingof the molecular mechanism underlying humoral immunity and boost t he design of new therapeutics formany diseases. The recent breakthrough in arti ficial intelligence has made it possible to predict proteinproteininteractions and model their structures.”
PasadenaCaliforniaUnited StatesNor th and Central AmericaAntibodiesAntigensBiological FactorsBlood ProteinsCyborgsEmerging TechnologiesImmunoglobulinsImmunologyMachine LearningProteinsCalifornia Institute of Technology (Caltech)
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