Evidence map›Paper›PMID 36646658›Full record

ArticleJournal of chemical information and modeling2023

Exploration of a Large Virtual Chemical Space: Identification of Potent Inhibitors of Lactate Dehydrogenase-A against Pancreatic Cancer.

Horrick Sharma, Pragya Sharma, Uzziah Urquiza, Lerin R Chastain, Michael A Ihnat

Open access · hybridAbstract read
In one paragraph

Article in Journal of chemical information and modeling, 2023. 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
1.8field-weighted citation impact, top 13% 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, 9 citations in OpenAlex.

  1. Review
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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 3 institutions in 1 country.

Horrick SharmaDepartment of Pharmaceutical Sciences, College of Pharmacy, Southwestern Oklahoma State University, Weatherford, Oklahoma73096, United States.
Pragya SharmaDepartment of Biological Sciences, Southwestern Oklahoma State University, Weatherford, Oklahoma73096, United States.
Uzziah UrquizaDepartment of Biological Sciences, Southwestern Oklahoma State University, Weatherford, Oklahoma73096, United States.
Lerin R ChastainDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma73117, United States.
Michael A IhnatDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma73117, United States.
Southwestern Oklahoma State University · USUniversity of Oklahoma Health Sciences Center · USWeatherford (United States) · US

Funding

Proteomics CoreP20GM103447 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Mark L Lang · 2012 to 2026
$60.2M
NIGMS NIH HHS P20 GM103447
6 · The paper itself

Abstract

It is imperative to explore the gigantic available chemical space to identify new scaffolds for drug lead discovery. Identifying potent hits from virtual screening of large chemical databases is challenging and computationally demanding. Rather than the traditional two-dimensional (2D)/three-dimensional (3D) approaches on smaller chemical libraries of a few hundred thousand compounds, we screened a ZINC library of 15 million compounds using multiple computational methods. Here, we present the successful application of a virtual screening methodology that identifies several chemotypes as starting hits against lactate dehydrogenase-A (LDHA). From 29 compounds identified from virtual screening, 17 (58%) showed IC

Indexed as

Molecular Dynamics SimulationPancreatic NeoplasmsHumansLactate Dehydrogenase 5Molecular Docking SimulationSmall Molecule LibrariesLactate Dehydrogenase 5Small Molecule Libraries

Identifiers

PMID36646658
PMCPMC9930117
OpenAlexW4316650545

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.