Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Potential drugs against COVID-19 revealed by Gene Expression Profile, Molecular Docking and Molecular Dynamic Simulation: Supplementary File.pptx

Database
Data di Pubblicazione:
2021
Abstract:
Binding site predictions for each of the 27 drugs against SARS-CoV-2 3CL Main Protease Copyright: CC BY-NC-ND 4.0
Tipologia CRIS:
11.04 Banca dati
Keywords:
Infectious agents; Virology; COVID-19; drug; molecular docking; bioinformatics; Gene expression; SARS-CoV; 3CL Main Protease; dynamic simulation; interactions; Therapy
Elenco autori:
Bertoli, GLORIA RITA; Cava, Claudia
Autori di Ateneo:
BERTOLI GLORIA RITA
CAVA CLAUDIA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/445956
  • Dati Generali

Dati Generali

URL

https://future-science-group.figshare.com/articles/dataset/Potential_drugs_against_COVID-19_revealed_by_Gene_Expression_Profile_Molecular_Docking_and_Molecular_Dynamic_Simulation_Supplementary_File_pptx/15022776/1
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)