Evidence map›Paper›PMID 25198656›Full record

ArticleACS chemical biology2014

General platform for systematic quantitative evaluation of small-molecule permeability in bacteria.

Tony D Davis, Christopher J Gerry, Derek S Tan

Abstract read
In one paragraph

Article in ACS chemical biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

70 citing papers in PubMed, 133 citations in OpenAlex.

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  16. Machine learning for microbiologists.Nature reviews. Microbiology · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. Review

10 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Tony D DavisPharmacology Program-Weill Cornell Graduate School of Medical Sciences, ‡Gerstner Sloan Kettering Summer Undergraduate Research Program, §Molecular Pharmacology & Chemistry Program and Tri-Institutional Research Program, Memorial Sloan Kettering Cancer Center , 1275 York Avenue, Box 422, New York, New York 10065, United States.
Christopher J Gerry
Derek S Tan
Memorial Sloan Kettering Cancer Center · USCornell University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
CANCER PHARMACOLOGYT32CA062948 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LORRAINE J GUDAS · 1994 to 2026
$12.1M
Rational Design of Adenylation Enzyme InhibitorsR01GM100477 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI TAN, DEREK S · 2012 to 2015
$1.8M
Small Molecule Inhibitors of P. aeruginosa Quinolone (Pqs) Quorum SensingR21AI098802 · NIAID · SLOAN-KETTERING INST CAN RESEARCH · PI TAN, DEREK S · 2012 to 2013
$488k
NCI NIH HHS P30 CA008748NCI NIH HHS T32 CA062948NIAID NIH HHS R21 AI098802NIAID NIH HHS R21AI098802NIGMS NIH HHS R01 GM100477
6 · The paper itself

Abstract

The chemical features that impact small-molecule permeability across bacterial membranes are poorly understood, and the resulting lack of tools to predict permeability presents a major obstacle to the discovery and development of novel antibiotics. Antibacterials are known to have vastly different structural and physicochemical properties compared to nonantiinfective drugs, as illustrated herein by principal component analysis (PCA). To understand how these properties influence bacterial permeability, we have developed a systematic approach to evaluate the penetration of diverse compounds into bacteria with distinct cellular envelopes. Intracellular compound accumulation is quantitated using LC-MS/MS, then PCA and Pearson pairwise correlations are used to identify structural and physicochemical parameters that correlate with accumulation. An initial study using 10 sulfonyladenosines in Escherichia coli, Bacillus subtilis, and Mycobacterium smegmatis has identified nonobvious correlations between chemical structure and permeability that differ among the various bacteria. Effects of cotreatment with efflux pump inhibitors were also investigated. This sets the stage for use of this platform in larger prospective analyses of diverse chemotypes to identify global relationships between chemical structure and bacterial permeability that would enable the development of predictive tools to accelerate antibiotic drug discovery.

Indexed as

Anti-Bacterial AgentsBacteriaChromatography, LiquidPermeabilityPrincipal Component AnalysisQualitative ResearchTandem Mass SpectrometryAnti-Bacterial Agents

Identifiers

PMID25198656
PMCPMC4245172
OpenAlexW2322777826

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.