Open AccessEvaluating Protein Engineering Thermostability Prediction Tools Using an Independently Generated Dataset
Author(s) -
Peishan Huang,
Simon K. S. Chu,
Henrique N. Frizzo,
Morgan P. Connolly,
Ryan W. Caster,
Justin B. Siegel
Publication year - 2020
Publication title -
acs omega
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.779
H-Index - 40
ISSN - 2470-1343
DOI - 10.1021/acsomega.9b04105
Subject(s) - thermostability , protein engineering , rank correlation , stability (learning theory) , mutant , protein stability , biochemical engineering , correlation coefficient , computer science , spearman's rank correlation coefficient , rank (graph theory) , thermal stability , biological system , chemistry , computational biology , data mining , machine learning , mathematics , biochemistry , biology , engineering , enzyme , organic chemistry , gene , combinatorics
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