Evidence map›Paper›PMID 28426652›Full record

ArticlePLoS computational biology2017

Cheminformatics-aided discovery of small-molecule Protein-Protein Interaction (PPI) dual inhibitors of Tumor Necrosis Factor (TNF) and Receptor Activator of NF-κB Ligand (RANKL).

Georgia Melagraki, Evangelos Ntougkos, Vagelis Rinotas, Christos Papaneophytou, Georgios Leonis, Thomas Mavromoustakos, George Kontopidis, Eleni Douni, Antreas Afantitis, George Kollias

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 67 citations in OpenAlex.

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  10. Review of potential medical treatments for middle ear cholesteatoma.Cell communication and signaling : CCS · 2022
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  16. Virtual Prediction of the Delphinidin-3-O-glucoside and Peonidin-3-O-glucoside as Anti-inflammatory of TNF-α Signaling.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2019
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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

10 authors at 5 institutions in 2 countries.

Georgia MelagrakiDivision of Immunology, Biomedical Sciences Research Center 'Alexander Fleming', Vari, Greece.
Evangelos NtougkosDivision of Immunology, Biomedical Sciences Research Center 'Alexander Fleming', Vari, Greece.ORCID 0000-0001-9805-9710
Vagelis RinotasDivision of Immunology, Biomedical Sciences Research Center 'Alexander Fleming', Vari, Greece.
Christos PapaneophytouVeterinary School, University of Thessaly, Karditsa, Greece.
Georgios LeonisNovaMechanics Ltd, Nicosia, Cyprus.
Thomas MavromoustakosLaboratory of Organic Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Athens, Greece.
George KontopidisVeterinary School, University of Thessaly, Karditsa, Greece.
Eleni DouniDivision of Immunology, Biomedical Sciences Research Center 'Alexander Fleming', Vari, Greece.ORCID 0000-0003-0004-5121
Antreas AfantitisDivision of Immunology, Biomedical Sciences Research Center 'Alexander Fleming', Vari, Greece.ORCID 0000-0002-0977-8180
George KolliasDivision of Immunology, Biomedical Sciences Research Center 'Alexander Fleming', Vari, Greece.ORCID 0000-0003-1867-3150
NovaMechanics (Cyprus) · CYAgricultural University of Athens · GRNational and Kapodistrian University of Athens · GRUniversity of Thessaly · GRAlexander Fleming Biomedical Sciences Research Center · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present an in silico drug discovery pipeline developed and applied for the identification and virtual screening of small-molecule Protein-Protein Interaction (PPI) compounds that act as dual inhibitors of TNF and RANKL through the trimerization interface. The cheminformatics part of the pipeline was developed by combining structure-based with ligand-based modeling using the largest available set of known TNF inhibitors in the literature (2481 small molecules). To facilitate virtual screening, the consensus predictive model was made freely available at: http://enalos.insilicotox.com/TNFPubChem/. We thus generated a priority list of nine small molecules as candidates for direct TNF function inhibition. In vitro evaluation of these compounds led to the selection of two small molecules that act as potent direct inhibitors of TNF function, with IC50 values comparable to those of a previously-described direct inhibitor (SPD304), but with significantly reduced toxicity. These molecules were also identified as RANKL inhibitors and validated in vitro with respect to this second functionality. Direct binding of the two compounds was confirmed both for TNF and RANKL, as well as their ability to inhibit the biologically-active trimer forms. Molecular dynamics calculations were also carried out for the two small molecules in each protein to offer additional insight into the interactions that govern TNF and RANKL complex formation. To our knowledge, these compounds, namely T8 and T23, constitute the second and third published examples of dual small-molecule direct function inhibitors of TNF and RANKL, and could serve as lead compounds for the development of novel treatments for inflammatory and autoimmune diseases.

Indexed as

AnimalsAnti-Inflammatory AgentsBone Marrow CellsCell LineCells, CulturedCell SurvivalComputer SimulationDrug DiscoveryHumansLigandsMiceProtein Interaction Domains and MotifsRANK LigandTumor Necrosis Factor-alphaAnti-Inflammatory AgentsLigandsRANK LigandTumor Necrosis Factor-alpha

Identifiers

PMID28426652
PMCPMC5398486
OpenAlexW2607472899

What OpenQuestion holds

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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.