Evidence map›Paper›PMID 36778399›Full record

ArticlebioRxiv : the preprint server for biology2023

A comprehensive survey of coronaviral main protease active site diversity in 3D: Identifying and analyzing drug discovery targets in search of broad specificity inhibitors for the next coronavirus pandemic.

Joseph H Lubin, Samantha G Martinusen, Christine Zardecki, Cassandra Olivas, Mickayla Bacorn, MaryAgnes Balogun, Ethan W Slaton, Amy Wu Wu, Sarah Sakeer, Brian P Hudson and 3 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 2 countries.

Joseph H LubinDepartment of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
Samantha G MartinusenDepartment of Chemical Engineering, University of Florida, Gainesville, Florida, USA.
Christine ZardeckiInstitute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
Cassandra OlivasResearch Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
Mickayla BacornResearch Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
MaryAgnes BalogunResearch Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
Ethan W SlatonDepartment of Chemical Engineering, University of Florida, Gainesville, Florida, USA.
Amy Wu WuResearch Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
Sarah SakeerDepartment of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
Brian P HudsonInstitute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
Carl A DenardDepartment of Chemical Engineering, University of Florida, Gainesville, Florida, USA.
Stephen K BurleyDepartment of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
Sagar D KhareDepartment of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
Rutgers, The State University of New Jersey · USUniversity of Florida · US

Funding

PDB MANAGEMENT BY THE RESEARCH COLLABORATORY FOR STRUCTURAL BIOINFORMATICSR01GM133198 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI BURLEY, STEPHEN K · 2019 to 2023
$19.3M
U-RISE at University of Maryland Baltimore CountyT34GM136497 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE COUNTY · PI PHYLLIS R ROBINSON · 2020 to 2026
$9.5M
Reprogramming proteases: tackling human diseases with next-generation modulatorsR35GM146821 · NIGMS · UNIVERSITY OF FLORIDA · PI Carl Denard · 2022 to 2026
$1.6M
Machine Learning-Guided Engineering of Protease ModulatorsR21GM144812 · NIGMS · UNIVERSITY OF FLORIDA · PI DENARD, CARL · 2022 to 2022
$219k
NIGMS NIH HHS R01 GM133198NIGMS NIH HHS R21 GM144812NIGMS NIH HHS R35 GM146821NIGMS NIH HHS T34 GM136497
6 · The paper itself

Abstract

Although the rapid development of therapeutic responses to combat SARS-CoV-2 represents a great human achievement, it also demonstrates untapped potential for advanced pandemic preparedness. Cross-species efficacy against multiple human coronaviruses by the main protease (MPro) inhibitor nirmatrelvir raises the question of its breadth of inhibition and our preparedness against future coronaviral threats. Herein, we describe sequence and structural analyses of 346 unique MPro enzymes from all coronaviruses represented in the NCBI Virus database. Cognate substrates of these representative proteases were inferred from their polyprotein sequences. We clustered MPro sequences based on sequence identity and AlphaFold2-predicted structures, showing approximate correspondence with known viral subspecies. Predicted structures of five representative MPros bound to their inferred cognate substrates showed high conservation in protease:substrate interaction modes, with some notable differences. Yeast-based proteolysis assays of the five representatives were able to confirm activity of three on inferred cognate substrates, and demonstrated that of the three, only one was effectively inhibited by nirmatrelvir. Our findings suggest that comprehensive preparedness against future potential coronaviral threats will require continued inhibitor development. Our methods may be applied to candidate coronaviral MPro inhibitors to evaluate in advance the breadth of their inhibition and identify target coronaviruses potentially meriting advanced development of alternative countermeasures.

Identifiers

PMID36778399
PMCPMC9915488
OpenAlexW4318689817

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.