Development of prediction methods for GPCR-G-protein coupling selectivity using machine learning techniques

概要

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Since we entered the post-genome era,the functional analysis of anever-increasing amount of gene information that has been accumulated since the genome era has continued throughout the world. Evolutionary approaches that are mainly based on sequence similarities are efficient tools for the functional analysis of unknown genes or proteins; further,these approaches have highlighted various problems, which cannot be resolved by solely employing these approaches.