Random forest-based protein model quality assessment (RFMQA) using structural features and potential energy terms.

Random forest-based protein model quality assessment (RFMQA) using structural features and potential energy terms.

Recently, predicting proteins three-dimensional (3D) structure from its sequence information has made a significant progress due to the advances in computational techniques and the growth of experimental structures. However, selecting good models from a structural model pool is an important and chal...

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Bibliographic Details
Main Authors:	Balachandran Manavalan, Juyong Lee, Jooyoung Lee
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2014-01-01
Series:	PLoS ONE
Online Access:	http://europepmc.org/articles/PMC4164442?pdf=render

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