Evidence map›Paper›PMID 38329238›Full record

ArticleBiochemistry2024

BRD4354 Is a Potent Covalent Inhibitor against the SARS-CoV-2 Main Protease.

Yan J Sheng, Syuan-Ting A Kuo, Tingyuan Yang, Hanyuan E Zhang, David H Russell, Xin Yan, Shiqing Xu, Wenshe R Liu, Carol A Fierke

Abstract read
In one paragraph

Article in Biochemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Yan J ShengDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0002-1942-9144
Syuan-Ting A KuoDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.
Tingyuan YangDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.
Hanyuan E ZhangDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.
David H RussellDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0003-0830-3914
Xin YanDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0002-8292-130X
Shiqing XuDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0001-6260-9290
Wenshe R LiuDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0002-7078-6534
Carol A FierkeDepartment of Biochemistry, Brandeis University, Waltham, Massachusetts 02453, United States.ORCID 0000-0002-1481-0579

Funding

Use of the Noncanonical Amino Acid Mutagenesis Technique in Combination with Other Approaches to Study Functions of Posttranslational Lysine Modifications in ProteinsR35GM145351 · NIGMS · TEXAS A&M UNIVERSITY · PI Wenshe Ray Liu · 2022 to 2026
$2.6M
Panoptic electrochemical probe for next-generation mass spectrometry based-lipidomicsR35GM143047 · NIGMS · TEXAS A&M UNIVERSITY · PI Xin Yan · 2021 to 2026
$2.6M
Development of fluorogenic and chemiluminogenic main protease substrates for cellular and in vivo imaging of SARS-CoV-2R21EB032983 · NIBIB · TEXAS A&M UNIVERSITY · PI LIU, WENSHE RAY · 2022 to 2023
$411k
The Development of Reversible Covalent PROTAC Technology as a New Anti-COVID-19 StrategyR21AI164088 · NIAID · TEXAS A&M UNIVERSITY · PI XU, SHIQING · 2021 to 2022
$406k
NIAID NIH HHS R21 AI164088NIBIB NIH HHS R21 EB032983NIGMS NIH HHS R35 GM143047NIGMS NIH HHS R35 GM145351
6 · The paper itself

Abstract

Numerous organic molecules are known to inhibit the main protease (M

Identifiers

PMID38329238
PMCPMC11306412

What OpenQuestion holds

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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.