Evidence map›Paper›PMID 28948099›Full record

ArticlePeerJ2017

Analysis of drug binding pockets and repurposing opportunities for twelve essential enzymes of ESKAPE pathogens.

Sadia Naz, Tony Ngo, Umar Farooq, Ruben Abagyan

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 53% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

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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 3 countries.

Sadia NazDepartment of Chemistry, COMSATS Intitute of Information Technology, Abbottabad, Pakistan.
Tony NgoSkaggs School of Pharmacy & Pharmaceutical Sciences, University of California, San Diego, CA, United States of America.
Umar FarooqDepartment of Chemistry, COMSATS Intitute of Information Technology, Abbottabad, Pakistan.
Ruben AbagyanSkaggs School of Pharmacy & Pharmaceutical Sciences, University of California, San Diego, CA, United States of America.
COMSATS University Islamabad · PKUniversity of California, San Diego · US

Funding

Macromolecular DockingR01GM071872 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ABAGYAN, RUBEN · 2004 to 2017
$4.2M
NIGMS NIH HHS R01 GM071872
6 · The paper itself

Abstract

backgroundThe rapid increase in antibiotic resistance by various bacterial pathogens underlies the significance of developing new therapies and exploring different drug targets. A fraction of bacterial pathogens abbreviated as ESKAPE by the European Center for Disease Prevention and Control have been considered a major threat due to the rise in nosocomial infections. Here, we compared putative drug binding pockets of twelve essential and mostly conserved metabolic enzymes in numerous bacterial pathogens including those of the ESKAPE group and

methodsNine bacterial species including six ESKAPE pathogens,

resultsHigh sequence identity of enzyme binding pockets, derived from experimentally determined co-crystallized structures, was observed among various species. Comparison at both full sequence level and for drug binding pockets of key metabolic enzymes showed that binding pockets are highly conserved (sequence similarity up to 100%) among various ESKAPE pathogens as well as DISCUSSION: Comparing ligand binding sites through sequence identity calculation could be an effective approach to identify conserved orthologs as drug binding pockets have shown higher level of conservation among various species. By using this approach we could avoid the problems associated with full sequence comparison. We identified essential metabolic enzymes among ESKAPE pathogens that share high sequence identity in their putative drug binding pockets (up to 100%), of which known inhibitors can potentially antagonize these identical pockets in the various species in a similar manner.

Indexed as

ESKAPE PathogensIdentity mapsSequence alignment

Identifiers

PMID28948099
PMCPMC5609521
OpenAlexW2755310687

What OpenQuestion holds

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LicenceCC BY
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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.