Amprenavir
Tags:
drug
DrugBank: DB00701 DB00701 Related interactions
Related publications
Title
Author
Type
Genetic Algorithm-Based Docking of Potent Inhibitors Against SARS-CoV-2 Main Protease: A Comparison Between Natural Products and Synthetic Drugs. Pragadeeshwara Rao R, Tinku Basu
Research
Drug repurposing studies targeting SARS-nCoV2: An ensemble docking approach on drug target 3C-like protease (3CLpro) Shruti Koulgi, Vinod Jani, Mallikarjunachari Uppuladinne, Uddhavesh Sonavane, A. K. Nath, Hemant Darbari, Rajendra Joshi
Research
In-silico drug repurposing study: Amprenavir, enalaprilat, and plerixafor, potential drugs for destabilizing the SARS-CoV-2 S-protein-angiotensin-converting enzyme 2 complex Ivonne Buitrón-González, Giovanny Aguilera-Durán, Antonio Romo-Mancillas
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Repurposing Known Drugs as Covalent and Non-covalent Inhibitors of the SARS-CoV-2 Papain-Like Protease Pietro Delre, Fabiana Caporuscio, Michele Saviano, Giuseppe Felice Mangiatordi
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Evaluation of the Binding Affinity of Anti-Viral Drugs against Main Protease of SARS-CoV-2 Through a Molecular Docking Study Milon Mondal, Chandan Sarkar, Sarmin Jamaddar, Abul Bashar Ripon Khalipha, Muhammad Torequl Islam, Azmi Mahafzah, Mohammad S. Mubarak
Research
Repurposing drug molecule against SARS-Cov-2 (COVID-19) through molecular docking and dynamics: a quick approach to pick FDA-approved drugs. Nabeela Farhat, Asad U Khan,
Research
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CORDITE (CORona Drug InTEractions database) collects and aggregates data from PubMed, MedRxiv, BioRxiv, ChemRxiv and PMC for SARS-CoV-2. Its main focus is set on drug interactions either addressing viral proteins or human proteins that could be used to treat COVID.
It collects and provides up-to-date information on computational predictions, in vitro, as well as in vivo study data.
The information provided is for research only and we cannot guarantee the correctness of the data.
Please contact dominik.heider@uni-muenster.de for further information.
Programmable access
There is an open API for access programmatically to the database. The API will print a JSON output:
Interactions
https://cordite-api.uni-muenster.de/api.php?action=list&table=interaction Targets
https://cordite-api.uni-muenster.de/api.php?action=list&table=target Drugs
https://cordite-api.uni-muenster.de/api.php?action=list&table=drug Publications
https://cordite-api.uni-muenster.de/api.php?action=list&table=publication Clinical trials
https://cordite-api.uni-muenster.de/api.php?action=list&table=clinical_trial
