Evidence map›Paper›PMID 15979045›Full record

ArticleComputational biology and chemistry2005

A molecular docking model of SARS-CoV S1 protein in complex with its receptor, human ACE2.

Yuan Zhang, Nan Zheng, Pei Hao, Ying Cao, Yang Zhong

Open access · greenAbstract read
In one paragraph

Article in Computational biology and chemistry, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

21 citing papers in PubMed, 39 citations in OpenAlex.

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  6. Mechanisms of SARS-CoV-2 Infection-Induced Kidney Injury: A Literature Review.Frontiers in cellular and infection microbiology · 2022
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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

5 authors at 4 institutions in 2 countries.

Yuan ZhangSchool of Life Sciences, Fudan University, Shanghai 200433, China.
Nan Zheng
Pei Hao
Ying Cao
Yang Zhong
Fudan University · CNNational Institute for Viral Disease Control and Prevention · CNShanghai Center For Bioinformation Technology · CNThe Graduate University for Advanced Studies, SOKENDAI · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The exact residues within severe acute respiratory syndrome coronavirus (SARS-CoV) S1 protein and its receptor, human ACE2, involved in their interaction still remain largely undetermined. Identification of exact amino acid residues that are crucial for the interaction of S1 with ACE2 could provide working hypotheses for experimental studies and might be helpful for the development of antiviral inhibitor. In this paper, a molecular docking model of SARS-CoV S1 protein in complex with human ACE2 was constructed. The interacting residue pairs within this complex model and their contact types were also identified. Our model, supported by significant biochemical evidence, suggested receptor-binding residues were concentrated in two segments of S1 protein. In contrast, the interfacial residues in ACE2, though close to each other in tertiary structure, were found to be widely scattered in the primary sequence. In particular, the S1 residue ARG453 and ACE2 residue LYS341 might be the key residues in the complex formation.

Indexed as

Amino Acid SequenceAngiotensin-Converting Enzyme 2Binding SitesCarboxypeptidasesHumansModels, MolecularPeptidyl-Dipeptidase AProtein BindingProtein ConformationReceptors, VirusSevere acute respiratory syndrome-related coronavirusViral ProteinsACE2 protein, humanAngiotensin-Converting Enzyme 2CarboxypeptidasesPeptidyl-Dipeptidase AReceptors, VirusViral Proteins

Identifiers

PMID15979045
PMCPMC7106554
OpenAlexW1993687542

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.