Evidence map›Paper›PMID 35393402›Full record

ArticleNature communications2022

Development of optimized drug-like small molecule inhibitors of the SARS-CoV-2 3CL protease for treatment of COVID-19.

Hengrui Liu, Sho Iketani, Arie Zask, Nisha Khanizeman, Eva Bednarova, Farhad Forouhar, Brandon Fowler, Seo Jung Hong, Hiroshi Mohri, Manoj S Nair and 22 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
9.1field-weighted citation impact, top 1% of its field
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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 93 citations in OpenAlex.

  1. Pooled it
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  13. Identifying Inhibitor-SARS-CoV2-3CLMolecules (Basel, Switzerland) · 2025
    Article
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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

32 authors at 6 institutions in 2 countries.

Hengrui LiuDepartment of Chemistry, Columbia University, New York, NY, 10027, USA.ORCID http://orcid.org/0000-0002-5214-1572
Sho IketaniAaron Diamond AIDS Research Center, Columbia University Irving Medical Center, New York, NY, 10032, USA.ORCID http://orcid.org/0000-0002-3733-9556
Arie ZaskDepartment of Biological Sciences, Columbia University, New York, NY, 10027, USA.
Nisha KhanizemanDepartment of Chemistry, Columbia University, New York, NY, 10027, USA.
Eva BednarovaDepartment of Chemistry, Columbia University, New York, NY, 10027, USA.
Farhad ForouharHerbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Brandon FowlerDepartment of Chemistry, Columbia University, New York, NY, 10027, USA.
Seo Jung HongDepartment of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Hiroshi MohriAaron Diamond AIDS Research Center, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Manoj S NairAaron Diamond AIDS Research Center, Columbia University Irving Medical Center, New York, NY, 10032, USA.ORCID http://orcid.org/0000-0002-5994-3957
Yaoxing HuangAaron Diamond AIDS Research Center, Columbia University Irving Medical Center, New York, NY, 10032, USA.ORCID http://orcid.org/0000-0001-6270-1644
Nicholas E S TayDepartment of Chemistry, Columbia University, New York, NY, 10027, USA.
Sumin LeeDepartment of Chemistry, Columbia University, New York, NY, 10027, USA.
Charles KaranSulzberger Columbia Genome Center, Columbia University, New York, NY, 10032, USA.
Samuel J ResnickDepartment of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Colette QuinnWaters Corporation, 34 Maple Street, Milford, MA, 01757, USA.
Wenjing LiWaters Corporation, 34 Maple Street, Milford, MA, 01757, USA.
Henry ShionWaters Corporation, 34 Maple Street, Milford, MA, 01757, USA.
Xin XiaDepartment of Biological Sciences, Columbia University, New York, NY, 10027, USA.
Jacob D DanielsDepartment of Pharmacology and Molecular Therapeutics, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Michelle Bartolo-CruzDepartment of Biological Sciences, Columbia University, New York, NY, 10027, USA.
Marcelo FarinaDepartment of Biological Sciences, Columbia University, New York, NY, 10027, USA.
Presha RajbhandariDepartment of Biological Sciences, Columbia University, New York, NY, 10027, USA.
Christopher JurtschenkoWaters Corporation, 34 Maple Street, Milford, MA, 01757, USA.
Matthew A LauberWaters Corporation, 34 Maple Street, Milford, MA, 01757, USA.
Thomas McDonaldWaters Corporation, 34 Maple Street, Milford, MA, 01757, USA.
Michael E StokesDepartment of Biological Sciences, Columbia University, New York, NY, 10027, USA.
Brett L HurstInstitute for Antiviral Research, Utah State University, Logan, UT, 84322, USA.ORCID http://orcid.org/0000-0003-1025-5878
Tomislav RovisDepartment of Chemistry, Columbia University, New York, NY, 10027, USA. tr2504@columbia.edu.ORCID http://orcid.org/0000-0001-6287-8669
Alejandro ChavezDepartment of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, 10032, USA. ac4304@cumc.columbia.edu.ORCID http://orcid.org/0000-0001-5626-7140
David D HoAaron Diamond AIDS Research Center, Columbia University Irving Medical Center, New York, NY, 10032, USA. dh2994@cumc.columbia.edu.ORCID http://orcid.org/0000-0003-1627-149X
Brent R StockwellDepartment of Chemistry, Columbia University, New York, NY, 10027, USA. bstockwell@columbia.edu.ORCID http://orcid.org/0000-0002-3532-3868
Columbia University · USWaters (United States) · USAaron Diamond AIDS Research Center · USColumbia University Irving Medical Center · USUniversidade Federal de Santa Catarina · BRUtah State University · US

Funding

T CELL MEMORY TO VIRUSESR01AI030048 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AHMED, RAFI · 1990 to 2022
$5.2M
T CELL MEMORY TO VIRUSESR37AI030048 · NIAID · EMORY UNIVERSITY · PI AHMED, RAFI · 2001 to 2010
$3.9M
Columbia University Graduate Training Program in Microbiology and ImmunologyT32AI106711 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Nicholas Arpaia, Uttiya Basu · 2014 to 2026
$2.1M
NIAID NIH HHS N01 AI030048NIAID NIH HHS T32 AI106711
6 · The paper itself

Abstract

The SARS-CoV-2 3CL protease is a critical drug target for small molecule COVID-19 therapy, given its likely druggability and essentiality in the viral maturation and replication cycle. Based on the conservation of 3CL protease substrate binding pockets across coronaviruses and using screening, we identified four structurally distinct lead compounds that inhibit SARS-CoV-2 3CL protease. After evaluation of their binding specificity, cellular antiviral potency, metabolic stability, and water solubility, we prioritized the GC376 scaffold as being optimal for optimization. We identified multiple drug-like compounds with <10 nM potency for inhibiting SARS-CoV-2 3CL and the ability to block SARS-CoV-2 replication in human cells, obtained co-crystal structures of the 3CL protease in complex with these compounds, and determined that they have pan-coronavirus activity. We selected one compound, termed coronastat, as an optimized lead and characterized it in pharmacokinetic and safety studies in vivo. Coronastat represents a new candidate for a small molecule protease inhibitor for the treatment of SARS-CoV-2 infection for eliminating pandemics involving coronaviruses.

Indexed as

Antiviral AgentsCoronavirus 3C ProteasesCOVID-19 Drug TreatmentProtease InhibitorsHumansMolecular Docking SimulationPandemicsSARS-CoV-23C-like proteinase, SARS-CoV-2Antiviral AgentsCoronavirus 3C ProteasesProtease Inhibitors

Identifiers

PMID35393402
PMCPMC8989888
OpenAlexW4223439908

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.