Evidence map›Paper›PMID 31496750›Full record

ArticleAdvances and applications in bioinformatics and chemistry : AABC2019

Computational evaluation of natural compounds as potential inhibitors of human PEPCK-M: an alternative for lung cancer therapy.

Luiz Phillippe R Baptista, Vanessa Vc Sinatti, Joao Hm Da Silva, Laurent Emmanuel Dardenne, Ana Carolina Guimarães

Open access · goldAbstract read
In one paragraph

Article in Advances and applications in bioinformatics and chemistry : AABC, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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 2 institutions in 1 country.

Luiz Phillippe R BaptistaLaboratory for Functional Genomics and Bioinformatics, Fiocruz, Oswaldo Cruz Institute, Rio de Janeiro, RJ, Brazil.
Vanessa Vc SinattiLaboratory for Functional Genomics and Bioinformatics, Fiocruz, Oswaldo Cruz Institute, Rio de Janeiro, RJ, Brazil.ORCID 0000-0003-2797-6102
Joao Hm Da SilvaGroup for Computational Modelling, Fiocruz, Oswaldo Cruz Foundation, Eusébio, CE, Brazil.
Laurent Emmanuel DardenneGroup for Molecular Modelling of Biologic Systems, National Laboratory of Scientific Computing, Petrópolis, RJ, Brazil.
Ana Carolina GuimarãesLaboratory for Functional Genomics and Bioinformatics, Fiocruz, Oswaldo Cruz Institute, Rio de Janeiro, RJ, Brazil.
Fundação Oswaldo Cruz · BRLaboratório Nacional de Computação Científica · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is the leading cause of cancer-related death worldwide. Among its subtypes, non-small cell lung cancer (NSCLC) is the most common. Recently, the mitochondrial isoform of the enzyme phosphoenolpyruvate carboxykinase (HsPEPCK-M) was identified as responsible for the metabolic adaptation in the NSCLC allowing tumor growth even under conditions of glucose deficiency. This adaptation is possible due to the role of HsPEPCK-M in gluconeogenesis, converting the oxaloacetate to phosphoenolpyruvate in the presence of GTP, which plays an important role in the energetic support of these tumors. In this context, it was shown that the inhibition or knockdown of this enzyme was able to induce apoptosis in NSCLC under low glucose conditions. PURPOSE: In this study, novel putative inhibitors were proposed for the human PEPCK-M (HsPEPCK-M) based on a computer-aided approach.

methodsComparative modeling was used to generate 3D models for HsPEPCK-M. Subsequently, the set of natural compounds of the ZINC database was screened against HsPEPCK-M models using structure-based pharmacophore modeling and molecular docking approaches. The selected compounds were evaluated according to its chemical diversity and clustered based on chemical similarity.

resultsThe pharmacophore hypotheses, generated based on known PEPCK inhibitors, were able to select 7,124 candidate compounds. These compounds were submitted to molecular docking studies using three conformations of HsPEPCK-M generated by comparative modeling. The aim was to select compounds with high predicted binding affinity for at least one of the conformations of HsPEPCK-M. After molecular docking, 612 molecules were selected as potential inhibitors of HsPEPCK-M. These compounds were clustered according to their structural similarity. Chemical profiling and binding mode analyses of these compounds allowed the proposal of four promising compounds: ZINC01656421, ZINC895296, ZINC00895535 and ZINC02571340.

conclusionThese compounds may be considered as potential candidates for HsPEPCK-M inhibitors and may also be used as lead compounds for the development of novel HsPEPCK-M inhibitors.

Indexed as

lung cancermolecular dockingnatural productsPEPCK-Mpharmacophore modelingvirtual screening

Identifiers

PMID31496750
PMCPMC6689533
OpenAlexW2965208618

What OpenQuestion holds

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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.