CORona Drug InTEractions database
Allosteric Regulation of SARS-CoV-2 Protease: Towards Informed Structure-Based Drug Discovery
Khaled Abdel-Maksoud, Mohamed Ali al-Badri, Christian Lorenz, Jonathan W. Essex
Abstract
The Coronavirus Disease of 2019 (COVID-19) is caused by a novel coronavirus known as the Severe Acute Respiratory Syndrome coronavirus 2 (SARS-CoV-2). Despite extensive research since the outset of the pandemic, definitive therapeutic agents for the treatment of the disease are yet to be identified. The main protease (MPro) of SARS-CoV-2 is an enzyme essential for virus replication through viral proteolytic activity and subsequent generation of infectious virus particles. Current computational efforts towards SARS-CoV-2 MPro inhibitor design have generally neglected an allosteric mechanism linked to His41-Cys145 catalytic dyad disruption and thus fail to target the open conformational state. We identify the rare event associated with the allosteric regulation of MPro activity in the orientation of the His41 imidazole side chain away from Cys145. In this work, we show that molecular dynamics and metadynamics simulations are fundamental for performing computer-aided MPro inhibitor design where the sampling of this allosteric mechanism within a computationally feasible timescale is essential. We calculate a 4.2 ± 1.9 kJ/mol free energy difference between the open and closed states of the SARS-CoV-2 MPro active site, indicating that favourable ligand interactions with His41 over the Cys145-His41 dyad interaction can stabilise the open state.
Source: ChemRxiv
Related molecules
Name | Synonyms | Genes |
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3C-like protease | 3CLpro, Mpro, SARS coronavirus main peptidase, 3CLpro-SARS-CoV-2 | rep, ORF1a-1b |
Target | Target affiliation | Drug | Type | Result |
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Target | Target affiliation | Drug | Type | Result |
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Name | Synonyms | Genes | Origin |
Name | Synonyms | PubChem | DrugBank | RCSB PDB | ATC |
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Name | Synonyms | PubChem | DrugBank | RCSB PDB | ATC |
Title | Authors | DOI | Source | Article type | Date |
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Title | Status | Phases | Start Date | Prim. Comp. Date | Comp. Date | First Post. Date |
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Title | Status | Phases | Start Date | Prim. Comp. Date | Comp. Date | First Post. Date |
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