KStable: A Computational Method for Predicting Protein Thermal Stability Changes by K-Star with Regular-mRMR Feature Selection

KStable: A Computational Method for Predicting Protein Thermal Stability Changes by K-Star with Regular-mRMR Feature Selection

Thermostability is a protein property that impacts many types of studies, including protein activity enhancement, protein structure determination, and drug development. However, most computational tools designed to predict protein thermostability require tertiary structure data as input. The few too...

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Bibliographic Details
Main Authors:	Chi-Wei Chen, Kai-Po Chang, Cheng-Wei Ho, Hsung-Pin Chang, Yen-Wei Chu
Format:	Article
Language:	English
Published:	MDPI AG 2018-12-01
Series:	Entropy
Subjects:	protein thermostability single-site mutations machine learning feature selection hill-climbing algorithm
Online Access:	https://www.mdpi.com/1099-4300/20/12/988

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