Extending the identification of structural features responsible for anti-SARS-CoV activity of peptide-type compounds using QSAR modelling (CROSBI ID 282531)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Masand, Vijay H. ; Rastija, Vesna ; Patil, Meghshyam K. ; Gandhi, Ajaykumar ; Chapolikar, Archana D.
engleski
Extending the identification of structural features responsible for anti-SARS-CoV activity of peptide-type compounds using QSAR modelling
QSAR model was built from a dataset of 54 peptide-type compounds as SARS-CoV inhibitors. The analysis was executed to identify prominent and hidden structural features that govern anti-SARS-CoV activity. The derived model is successful in identifying many atom-pairs as important structural features that govern the anti-SARS-CoV activity of peptide-type compounds.
QSAR ; COVID-19 ; SARS-CoV
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o izdanju
31 (9)
2020.
643-654
objavljeno
1062-936X
1029-046X
10.1080/1062936x.2020.1784271