Pregled bibliografske jedinice broj: 1076726
Extending the identification of structural features responsible for anti-SARS-CoV activity of peptide-type compounds using QSAR modelling
Extending the identification of structural features responsible for anti-SARS-CoV activity of peptide-type compounds using QSAR modelling // SAR and QSAR in environmental research, 31 (2020), 9; 643-654 doi:10.1080/1062936x.2020.1784271 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1076726 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Extending the identification of structural features responsible for anti-SARS-CoV activity of peptide-type compounds using QSAR modelling
Autori
Masand, Vijay H. ; Rastija, Vesna ; Patil, Meghshyam K. ; Gandhi, Ajaykumar ; Chapolikar, Archana D.
Izvornik
SAR and QSAR in environmental research (1062-936X) 31
(2020), 9;
643-654
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
QSAR ; COVID-19 ; SARS-CoV
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Kemija, Farmacija
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE
