首页|Masaryk University Reports Findings in Machine Learning (Knot or not? Identifyin g unknotted proteins in knotted families with sequence-based Machine Learning mo del)
Masaryk University Reports Findings in Machine Learning (Knot or not? Identifyin g unknotted proteins in knotted families with sequence-based Machine Learning mo del)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Brno, Czech Re public, by NewsRx journalists, research stated, “Knotted proteins, although scar ce, are crucial structural components of certain protein families, and their rol es continue to be a topic of intense research. Capitalizing on the vast collecti on of protein structure predictions offered by AlphaFold (AF), this study comput ationally examines the entire UniProt database to create a robust dataset of kno tted and unknotted proteins.” Funders for this research include Narodowe Centrum Nauki, Grantova Agentura Cesk e Republiky.
BrnoCzech RepublicEuropeCyborgsE merging TechnologiesMachine LearningPeptidesPeptides and ProteinsProtein s
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