Carlos A. Ehrenfried
AuthID: R-00K-SC5
1
TITLE: MACHINE LEARNING-BASED VIRTUAL SCREENING, MOLECULAR DOCKING, DRUG-LIKENESS, PHARMACOKINETICS AND TOXICITY ANALYSES TO IDENTIFY NEW NATURAL INHIBITORS OF THE GLYCOPROTEIN SPIKE (S1) OF SARS-CoV-2 Full Text
AUTHORS: Cobre, Alexandre de F.; Boeger, Beatriz; Fachi, Mariana M.; Ehrenfried, Carlos A.; Stremel, Dile P.; De Melo, Eduardo B.; Tonin, Fernanda S.; Pontarolo, Roberto;
PUBLISHED: 2023, SOURCE: QUIMICA NOVA
AUTHORS: Cobre, Alexandre de F.; Boeger, Beatriz; Fachi, Mariana M.; Ehrenfried, Carlos A.; Stremel, Dile P.; De Melo, Eduardo B.; Tonin, Fernanda S.; Pontarolo, Roberto;
PUBLISHED: 2023, SOURCE: QUIMICA NOVA
INDEXED IN: 
WOS
WOS2
TITLE: MACHINE LEARNING-BASED VIRTUAL SCREENING, MOLECULAR DOCKING, DRUG-LIKENESS, PHARMACOKINETICS AND TOXICITY ANALYSES TO IDENTIFY NEW NATURAL INHIBITORS OF THE GLYCOPROTEIN SPIKE (S1) OF SARS-CoV-2
AUTHORS: Alexandre de Cobre; Beatriz Böger; Mariana Fachi; Carlos Ehrenfried; Dile Stremel; Eduardo De Melo; Fernanda Tonin; Roberto Pontarolo;
PUBLISHED: 2023, SOURCE: Quimica Nova, VOLUME: 46, ISSUE: 5
AUTHORS: Alexandre de Cobre; Beatriz Böger; Mariana Fachi; Carlos Ehrenfried; Dile Stremel; Eduardo De Melo; Fernanda Tonin; Roberto Pontarolo;
PUBLISHED: 2023, SOURCE: Quimica Nova, VOLUME: 46, ISSUE: 5
INDEXED IN: 
Scopus
Scopus