7LTN image
Deposition Date 2021-02-19
Release Date 2021-11-10
Last Version Date 2024-11-20
Entry Detail
PDB ID:
7LTN
Title:
Crystal structure of Mpro in complex with inhibitor CDD-1713
Biological Source:
Method Details:
Experimental Method:
Resolution:
1.79 Å
R-Value Free:
0.24
R-Value Work:
0.19
R-Value Observed:
0.20
Space Group:
C 1 2 1
Macromolecular Entities
Polymer Type:polypeptide(L)
Molecule:3C-like proteinase
Gene (Uniprot):rep
Chain IDs:A
Chain Length:306
Number of Molecules:1
Biological Source:Severe acute respiratory syndrome coronavirus 2
Ligand Molecules
Primary Citation
DNA-encoded chemistry technology yields expedient access to SARS-CoV-2 M pro inhibitors.
Proc.Natl.Acad.Sci.USA 118 ? ? (2021)
PMID: 34426525 DOI: 10.1073/pnas.2111172118

Abstact

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has killed more than 4 million humans globally, but there is no bona fide Food and Drug Administration-approved drug-like molecule to impede the COVID-19 pandemic. The sluggish pace of traditional therapeutic discovery is poorly suited to producing targeted treatments against rapidly evolving viruses. Here, we used an affinity-based screen of 4 billion DNA-encoded molecules en masse to identify a potent class of virus-specific inhibitors of the SARS-CoV-2 main protease (Mpro) without extensive and time-consuming medicinal chemistry. CDD-1714, the initial three-building-block screening hit (molecular weight [MW] = 542.5 g/mol), was a potent inhibitor (inhibition constant [Ki] = 20 nM). CDD-1713, a smaller two-building-block analog (MW = 353.3 g/mol) of CDD-1714, is a reversible covalent inhibitor of Mpro (Ki = 45 nM) that binds in the protease pocket, has specificity over human proteases, and shows in vitro efficacy in a SARS-CoV-2 infectivity model. Subsequently, key regions of CDD-1713 that were necessary for inhibitory activity were identified and a potent (Ki = 37 nM), smaller (MW = 323.4 g/mol), and metabolically more stable analog (CDD-1976) was generated. Thus, screening of DNA-encoded chemical libraries can accelerate the discovery of efficacious drug-like inhibitors of emerging viral disease targets.

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Primary Citation of related structures