Evidence map›Paper›PMID 28852971›Full record

ArticleCell biochemistry and biophysics2018

Identification of Phytochemicals Targeting c-Met Kinase Domain using Consensus Docking and Molecular Dynamics Simulation Studies.

Shima Aliebrahimi, Shideh Montasser Kouhsari, Seyed Nasser Ostad, Seyed Shahriar Arab, Leila Karami

Open access · bronzeAbstract read
In one paragraph

Article in Cell biochemistry and biophysics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 47 citations in OpenAlex.

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  12. Key Topics in Molecular Docking for Drug Design.International journal of molecular sciences · 2019
    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 4 institutions in 1 country.

Shima AliebrahimiDepartment of Cellular and Molecular Biology, School of Biology, College of Science, University of Tehran, Tehran, Iran.
Shideh Montasser KouhsariDepartment of Cellular and Molecular Biology, School of Biology, College of Science, University of Tehran, Tehran, Iran. montasser20sh@khayam.ut.ac.ir.
Seyed Nasser OstadDepartment of Toxicology and Pharmacology, Faculty of Pharmacy and Poisoning Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Seyed Shahriar ArabDepartment of Biophysics, School of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
Leila KaramiDepartment of Cell and Molecular Biology, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran.
University of Tehran · IRKharazmi University · IRTarbiat Modares University · IRTehran University of Medical Sciences · IR

Funding

Deputy of Research, Tehran University of Medical Science. 94-01-33-28717Iran National Science Foundation (INSF) 93013896
6 · The paper itself

Abstract

c-Met receptor tyrosine kinase is a proto-oncogene whose aberrant activation is attributed to a lower rate of survival in most cancers. Natural product-derived inhibitors known as "fourth generation inhibitors" constitute more than 60% of anticancer drugs. Furthermore, consensus docking approach has recently been introduced to augment docking accuracy and reduce false positives during a virtual screening. In order to obtain novel small-molecule Met inhibitors, consensus docking approach was performed using Autodock Vina and Autodock 4.2 to virtual screen Naturally Occurring Plant-based Anti-cancer Compound-Activity-Target database against active and inactive conformation of c-Met kinase domain structure. Two hit molecules that were in line with drug-likeness criteria, desired docking score, and binding pose were subjected to molecular dynamics simulations to elucidate intermolecular contacts in protein-ligand complexes. Analysis of molecular dynamics simulations and molecular mechanics Poisson-Boltzmann surface area studies showed that ZINC08234189 is a plausible inhibitor for the active state of c-Met, whereas ZINC03871891 may be more effective toward active c-Met kinase domain compared to the inactive form due to higher binding energy. Our analysis showed that both the hit molecules formed hydrogen bonds with key residues of the hinge region (P1158, M1160) in the active form, which is a hallmark of kinase domain inhibitors. Considering the pivotal role of HGF/c-Met signaling in carcinogenesis, our results propose ZINC08234189 and ZINC03871891 as the therapeutic options to surmount Met-dependent cancers.

Indexed as

Molecular Docking SimulationMolecular Dynamics SimulationBinding SitesBiological ProductsDatabases, ChemicalDatabases, ProteinHumansHydrogen BondingLigandsMolecular ConformationPhytochemicalsProtein BindingProtein Kinase InhibitorsProtein Structure, TertiaryProto-Oncogene MasProto-Oncogene Proteins c-metBiological ProductsLigandsMAS1 protein, humanPhytochemicalsProtein Kinase InhibitorsProto-Oncogene MasProto-Oncogene Proteins c-metBinding free energyc-Met inhibitorConsensus dockingMolecular dynamics simulationNatural products

Identifiers

PMID28852971
PMCPMC7090793
OpenAlexW2750981421

What OpenQuestion holds

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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.