Evidence map›Paper›PMID 25988609›Full record

ArticleMolecules (Basel, Switzerland)2015

Development and validation of a docking-based virtual screening platform for the identification of new lactate dehydrogenase inhibitors.

Carlotta Granchi, Alice Capecchi, Gianluca Del Frate, Adriano Martinelli, Marco Macchia, Filippo Minutolo, Tiziano Tuccinardi

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. TargetingFrontiers in bioinformatics · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Molecular Structure-Based Screening of the Constituents ofCurrent issues in molecular biology · 2022
    Article
  7. Article
  8. Review
  9. Review
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

7 authors.

Carlotta GranchiDepartment of Pharmacy, University of Pisa, 56126 Pisa, Italy. carlotta.granchi@farm.unipi.it.
Alice CapecchiDepartment of Pharmacy, University of Pisa, 56126 Pisa, Italy. alice.capecchi@outlook.it.
Gianluca Del FrateDepartment of Pharmacy, University of Pisa, 56126 Pisa, Italy.
Adriano MartinelliDepartment of Pharmacy, University of Pisa, 56126 Pisa, Italy. adriano.martinelli@farm.unipi.it.
Marco MacchiaDepartment of Pharmacy, University of Pisa, 56126 Pisa, Italy. marco.macchia@farm.unipi.it.
Filippo MinutoloDepartment of Pharmacy, University of Pisa, 56126 Pisa, Italy. filippo.minutolo@farm.unipi.it.
Tiziano TuccinardiDepartment of Pharmacy, University of Pisa, 56126 Pisa, Italy. tiziano.tuccinardi@farm.unipi.it.

Funding

Design, Synthesis, and Evaluation of Lactate Dehydrogenase InhibitorsR01GM098453 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI HERGENROTHER, PAUL · 2012 to 2015
$1.8M
NIGMS NIH HHS R01 GM098453
6 · The paper itself

Abstract

The human muscle isoform of lactate dehydrogenase (hLDH5) is one of the key enzymes of the glycolytic process. It is overexpressed in metastatic cancer cells and is linked to the vitality of tumors in hypoxic conditions. With the aim of identifying new hLDH5 inhibitors, a fully automated docking-based virtual screening platform was developed by considering different protein conformations and the consensus docking strategy. In order to verify the reliability of the reported platform, a small database of about 10,000 compounds was filtered by using this method, and the top-ranked compounds were tested for their hLDH5 inhibition activity. Enzymatic assays revealed that, among the ten selected compounds, two proved to efficiently inhibit enzyme activity with IC50 values in the micromolar range. These results demonstrate the validity of the methodologies we followed, encouraging the application of larger virtual screening studies and further refinements of the platform. Furthermore, the two active compounds herein described may be considered as interesting leads for the development of new and more efficient LDH inhibitors.

Indexed as

Crystallography, X-RayEnzyme InhibitorsGlycolysisHumansL-Lactate DehydrogenaseModels, MolecularMolecular Docking SimulationMolecular Dynamics SimulationMuscle, SkeletalNeoplasmsProtein BindingProtein ConformationEnzyme InhibitorsL-Lactate DehydrogenasedockingLDH inhibitorsvirtual screening

Identifiers

PMID25988609
PMCPMC6272605

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Registered trials

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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.