Researchers from Georgia Institute of Technology, Institute of Technology Describe Findings in Machine Learning

摘要

2011 MAR 14 - (VerticalNews.com) -- Fresh data on Machine Learning arernpresented in the report 'FINDSITE-metal: integrating evolutionary information and machinernlearning for structure-based metal-binding site prediction at the proteome level.' According to arnstudy from the United States, "The rapid accumulation of gene sequences, many of which arernhypothetical proteins with unknown function, has stimulated the development of accuraterncomputational tools for protein function prediction with evolution/structure-based approachesrnshowing considerable promise. In this article, we present FINDSITE-metal, a new threadingbasedrnmethod designed specifically to detect metal-binding sites in modeled protein structures."