7HCS image
Deposition Date 2024-08-15
Release Date 2025-06-11
Last Version Date 2025-06-11
Entry Detail
PDB ID:
7HCS
Title:
PanDDA analysis group deposition -- Crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with AVI-0000609
Biological Source:
Method Details:
Experimental Method:
Resolution:
0.99 Å
R-Value Free:
0.16
R-Value Work:
0.14
R-Value Observed:
0.14
Space Group:
P 43
Macromolecular Entities
Polymer Type:polypeptide(L)
Molecule:Non-structural protein 3
Gene (Uniprot):rep
Chain IDs:A, B
Chain Length:169
Number of Molecules:2
Biological Source:Severe acute respiratory syndrome coronavirus 2
Primary Citation
Exploration of structure-activity relationships for the SARS-CoV-2 macrodomain from shape-based fragment linking and active learning.
Sci Adv 11 eads7187 eads7187 (2025)
PMID: 40435250 DOI: 10.1126/sciadv.ads7187

Abstact

The macrodomain of severe acute respiratory syndrome coronavirus 2 nonstructural protein 3 is required for viral pathogenesis and is an emerging antiviral target. We previously performed an x-ray crystallography-based fragment screen and found submicromolar inhibitors by fragment linking. However, these compounds had poor membrane permeability and liabilities that complicated optimization. Here, we developed a shape-based virtual screening pipeline-FrankenROCS. We screened the Enamine high-throughput collection of 2.1 million compounds, selecting 39 compounds for testing, with the most potent binding with a 130 μM median inhibitory concentration (IC50). We then paired FrankenROCS with an active learning algorithm (Thompson sampling) to efficiently search the Enamine REAL database of 22 billion molecules, testing 32 compounds with the most potent binding with a 220 μM IC50. Further optimization led to analogs with IC50 values better than 10 μM. This lead series has improved membrane permeability and is poised for optimization. FrankenROCS is a scalable method for fragment linking to exploit synthesis-on-demand libraries.

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