Open AccessQSAR Study on Aromatic Disulfide Compounds as SARS-CoV Mpro Inhibitor Using Genetic Algorithm-Support Vector Machine
Author(s) -
Rizki Amanullah Hakim,
Annisa Aditsania,
Isman Kurniawan
Publication year - 2022
Publication title -
kinetik game technology information system computer network computing electronics and control
Language(s) - English
Resource type - Journals
eISSN - 2503-2267
pISSN - 2503-2259
DOI - 10.22219/kinetik.v7i2.1428
Subject(s) - quantitative structure–activity relationship , support vector machine , in silico , protease inhibitor (pharmacology) , feature selection , computational biology , chemistry , machine learning , virus , biology , computer science , stereochemistry , virology , biochemistry , gene , antiretroviral therapy , viral load
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