SCMCRYS: Predicting Protein Crystallization Using an Ensemble Scoring Card Method with Estimating Propensity Scores of P-Collocated Amino Acid Pairs

• Main Authors: Phasit Charoenkwan, Watshara Shoombuatong, Hua Chin Lee, Jeerayut Chaijaruwanich, Hui Ling Huang, Shinn Ying Ho
• 格式: 雜誌
• 出版: 2018
• 主題: Agricultural and Biological Sciences; Biochemistry, Genetics and Molecular Biology; Medicine
• 在線閱讀: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84883364817&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/52075
• 機構: Chiang Mai University

Existing methods for predicting protein crystallization obtain high accuracy using various types of complemented features and complex ensemble classifiers, such as support vector machine (SVM) and Random Forest classifiers. It is desirable to develop a simple and easily interpretable prediction meth...