首页|Calcium Binding Affinity in the Mutational Landscape of Troponin-C: Free Energy Calculation, Co-evolution modeling and Machine Learning
Calcium Binding Affinity in the Mutational Landscape of Troponin-C: Free Energy Calculation, Co-evolution modeling and Machine Learning
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – According to news reporting based on a preprint a bstract, our journalists obtained the following quote sourced from biorxiv.org: “Computational protein science has made substantial headway, but accurately pred icting the functional effects of mutation in Calcium-binding proteins (CBPs) on Ca2+ binding affinity proves obscure. The complexity lies in the fact that only sequence features or structural information individually offer an incomplete pic ture on their own. To triumph over this adversity, we introduce a pioneering fra mework that effortlessly integrates protein sequence evolution information, stru ctural characteristics, and Ca2+ binding interaction properties into a machine l earning algorithm. This synthesis has been carried out poised to significantly e nhance accuracy and precision in the prediction of the Ca2+ binding affinity tow ards CBP variants.
BiophysicsBiopolymersCalcium-Binding ProteinsCarrierProteinsContractile ProteinsCyborgsCytoskeletal Protein sEmerging TechnologiesMachine LearningMacromolecular SubstancesMicrofila ment ProteinsMuscle ProteinsPhysicsTroponinTroponin C.
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