Evidence map›Paper›PMID 32188106›Full record

ArticleBiomolecules2020

MBLinhibitors.com, a Website Resource Offering Information and Expertise for the Continued Development of Metallo--Lactamase Inhibitors.

Zishuo Cheng, Caitlyn A Thomas, Adam R Joyner, Robert L Kimble, Aidan M Sturgill, Nhu-Y Tran, Maya R Vulcan, Spencer A Klinsky, Diego J Orea, Cody R Platt and 6 more

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2020. 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
0.6field-weighted citation impact, top 43% 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, 10 citations in OpenAlex.

  1. Article
  2. Machine Learning Models Identify Inhibitors of New Delhi Metallo-β-lactamase.Journal of chemical information and modeling · 2024
    Article
  3. Article
  4. RSC medicinal chemistry · 2021
    Article
  5. Article
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

16 authors at 1 institution in 1 country.

Zishuo ChengDepartment of Chemistry and Biochemistry, Miami University, Oxford, OH 45056, USA.
Caitlyn A ThomasDepartment of Chemistry and Biochemistry, Miami University, Oxford, OH 45056, USA.
Adam R JoynerDepartment of Computer Science and Software Engineering, Miami University, Oxford, OH 45056, USA.
Robert L KimbleDepartment of Chemistry and Biochemistry, Miami University, Oxford, OH 45056, USA.
Aidan M SturgillDepartment of Chemistry and Biochemistry, Miami University, Oxford, OH 45056, USA.
Nhu-Y TranDepartment of Chemistry and Biochemistry, Miami University, Oxford, OH 45056, USA.
Maya R VulcanDepartment of Chemistry and Biochemistry, Miami University, Oxford, OH 45056, USA.
Spencer A KlinskyDepartment of Chemistry and Biochemistry, Miami University, Oxford, OH 45056, USA.
Diego J OreaDepartment of Chemistry and Biochemistry, Miami University, Oxford, OH 45056, USA.
Cody R PlattDepartment of Computer Science and Software Engineering, Miami University, Oxford, OH 45056, USA.
Fanpu CaoDepartment of Computer Science and Software Engineering, Miami University, Oxford, OH 45056, USA.
Bo LiDepartment of Computer Science and Software Engineering, Miami University, Oxford, OH 45056, USA.
Qilin YangDepartment of Computer Science and Software Engineering, Miami University, Oxford, OH 45056, USA.
Cole J YurkiewiczDepartment of Chemistry and Biochemistry, Miami University, Oxford, OH 45056, USA.
Walter FastDivision of Chemical Biology and Medicinal Chemistry, College of Pharmacy and the LaMontagne Center for Infectious Disease, University of Texas, Austin, TX 78712, USA.
Michael W CrowderDepartment of Chemistry and Biochemistry, Miami University, Oxford, OH 45056, USA.
Miami University · US

Funding

Developing Metallo-Beta-Lactamase InhibitorsR01GM111926 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BONOMO, ROBERT A., COHEN, SETH M · 2015 to 2019
$2.3M
Machine Learning Approach for finding novel metallo-b-lactamase inhibitorsR15GM134454 · NIGMS · MIAMI UNIVERSITY OXFORD · PI CROWDER, MICHAEL W · 2019 to 2022
$867k
National Science Foundation CHE-1851795NIGMS NIH HHS R01 GM111926NIGMS NIH HHS R15 GM134454
6 · The paper itself

Abstract

In an effort to facilitate the discovery of new, improved inhibitors of the metallo--lactamases (MBLs), a new, interactive website called MBLinhibitors.com was developed. Despite considerable efforts from the science community, there are no clinical inhibitors of the MBLs, which are now produced by human pathogens. The website, MBLinhibitors.com, contains a searchable database of known MBL inhibitors, and inhibitors can be searched by chemical name, chemical formula, chemical structure, Simplified Molecular-Input Line-Entry System (SMILES) format, and by the MBL on which studies were conducted. The site will also highlight a "MBL Inhibitor of the Month", and researchers are invited to submit compounds for this feature. Importantly, MBLinhibitors.com was designed to encourage collaboration, and researchers are invited to submit their new compounds, using the "Submit" function on the site, as well as their expertise using the "Collaboration" function. The intention is for this site to be interactive, and the site will be improved in the future as researchers use the site and suggest improvements. It is hoped that MBLinhibitors.com will serve as the one-stop site for any important information on MBL inhibitors and will aid in the discovery of a clinically useful MBL inhibitor.

Indexed as

Databases, ChemicalInternetAnti-Bacterial Agentsbeta-Lactamase Inhibitorsbeta-LactamasesAnti-Bacterial Agentsbeta-Lactamase Inhibitorsbeta-Lactamasesantibiotic resistanceinhibitormblinhibitor.commetallo-β-lactamasewebsite

Identifiers

PMID32188106
PMCPMC7175331
OpenAlexW3011084806

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.