Research on machine learning reported by scientists at University of Pittsburgh, Department of Biomedical Informatics

摘要

2011 JAN 10 - (VerticalNews.com) -- Current study results from the report, 'Activernmachine learning for transmembrane helix prediction,' have been published. According to recentrnresearch published in the journal Bmc Bioinformatics, "About 30% of genes code for membranernproteins, which are involved in a wide variety of crucial biological functions. Despite theirrnimportance, experimentally determined structures correspond to only about 1.7% of proteinrnstructures deposited in the Protein Data Bank due to the difficulty in crystallizing membranernproteins."