Open AccessA Study of the Anticancer Activity against MCF-7 Cell Lines and Quantitative Structure-Activity Relationship Analysis on a Series of Compounds
Author(s) -
Durbek Usmanov,
Bakhtiyor Rasulev,
Sardor Narzullaev
Publication year - 2021
Publication title -
proceedings of mol2net'21, conference on molecular, biomedical and computational sciences and engineering, 7th ed.
Language(s) - English
Resource type - Conference proceedings
DOI - 10.3390/mol2net-07-11913
Subject(s) - quantitative structure–activity relationship , robustness (evolution) , applicability domain , computer science , cancer cell lines , test set , mcf 7 , predictability , in silico , set (abstract data type) , variables , artificial intelligence , machine learning , biological system , mathematics , chemistry , human breast , breast cancer , statistics , cancer , cancer cell , biology , biochemistry , genetics , gene , programming language