首页|Findings from Zhejiang University in the Area of Machine Learning Reported (Mach ine Learning Assisted Qsar Analysis To Predict Protein Adsorption Capacities On Mixed-mode Resins)
Findings from Zhejiang University in the Area of Machine Learning Reported (Mach ine Learning Assisted Qsar Analysis To Predict Protein Adsorption Capacities On Mixed-mode Resins)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news originatingfrom Hangzhou, People’s Republic o f China, by NewsRx correspondents, research stated, “Mixed-modechromatography i s promising for protein separation, but the structural diversities of proteins r esult indistinct adsorption behaviors. This study used machine learning methods to establish the quantitativestructure-activity relationships (QSAR) between t he protein adsorption capacity on mixed-mode resinsand the molecule properties of target proteins and mixed-mode ligands.”
HangzhouPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningZhejiang University
NETL
NSTL
