Evidence map›Paper›PMID 15883050›Full record

ArticleBiochemical and biophysical research communications2005

Mutational and inhibitive analysis of SARS coronavirus 3C-like protease by fluorescence resonance energy transfer-based assays.

Wan-Fen Kuang, Lu-Ping Chow, Mei-Hua Wu, Lih-Hwa Hwang

Open access · greenAbstract read
In one paragraph

Article in Biochemical and biophysical research communications, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Repurposing existing drugs: identification of SARS-CoV-2 3C-like protease inhibitors.Journal of enzyme inhibition and medicinal chemistry · 2021
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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

4 authors at 2 institutions in 1 country.

Wan-Fen KuangHepatitis Research Center, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan, ROC.
Lu-Ping Chow
Mei-Hua Wu
Lih-Hwa Hwang
National Taiwan University Hospital · TWNational Taiwan University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 3C-like protease (3CL(pro)) of severe acute respiratory syndrome coronavirus (SARS-CoV) plays key roles in viral replication and is an attractive target for anti-SARS drug discovery. In this report, a fluorescence resonance energy transfer (FRET)-based method was developed to assess the proteolytic activity of SARS-CoV 3CL(pro). Two internally quenched fluorogenic peptides, 1NC and 2NC, corresponding to the N-terminal and the C-terminal autocleavage sites of SARS-CoV 3CL(pro), respectively, were used as substrates. SARS-CoV 3CL(pro) seemed to work more efficiently on 1NC than on 2NC in trans-cleavage assay. Mutational analysis demonstrated that the His41 residue, the N-terminal 7 amino acids, and the domain III of SARS-CoV 3CL(pro) were important for the enzymatic activity. Antibodies recognizing domain III could significantly inhibit the enzymatic activity of SARS-CoV 3CL(pro). The effects of class-specific protease inhibitors on the trans-cleavage activity revealed that this enzyme worked more like a serine protease rather than the papain protease.

Indexed as

Amino Acid SequenceAntibodies, MonoclonalBase SequenceCoronavirus 3C ProteasesCysteine EndopeptidasesDNA PrimersEndopeptidasesFluorescence Resonance Energy TransferHydrolysisKineticsMutationProtease InhibitorsViral ProteinsAntibodies, MonoclonalCoronavirus 3C ProteasesCysteine EndopeptidasesDNA PrimersEndopeptidasesProtease InhibitorsViral Proteins

Identifiers

PMID15883050
PMCPMC7092943
OpenAlexW2163904837

What OpenQuestion holds

Textmetadata
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.