Evidence map›Paper›PMID 33430980›Full record

ArticleJournal of cheminformatics2020

SmartGraph: a network pharmacology investigation platform.

Gergely Zahoránszky-Kőhalmi, Timothy Sheils, Tudor I Oprea

Open access · goldAbstract read
In one paragraph

Article in Journal of cheminformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. SmartGraph API: Programmatic Knowledge Mining in Network-Pharmacology Setting.Journal of chemical information and modeling · 2024
    Article
  5. Hilbert-curve assisted structure embedding method.Journal of cheminformatics · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
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

3 authors at 3 institutions in 3 countries.

Gergely Zahoránszky-KőhalmiNational Center for Advancing Translational Sciences, Rockville, MD, USA. gzahoranszky@gmail.com.ORCID http://orcid.org/0000-0002-2534-8770
Timothy SheilsNational Center for Advancing Translational Sciences, Rockville, MD, USA.
Tudor I OpreaDepartment of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA.
National Center for Advancing Translational Sciences · USUniversity of Copenhagen · DKUniversity of New Mexico · US

Funding

Chemical Pattern Detection and Visualization in Biological NetworksR21GM095952 · NIGMS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI OPREA, TUDOR I · 2011 to 2012
$415k
NIGMS NIH HHS R21 GM095952NIH HHS 1U54CA189205-01NIH HHS GM095952
6 · The paper itself

Abstract

motivationDrug discovery investigations need to incorporate network pharmacology concepts while navigating the complex landscape of drug-target and target-target interactions. This task requires solutions that integrate high-quality biomedical data, combined with analytic and predictive workflows as well as efficient visualization. SmartGraph is an innovative platform that utilizes state-of-the-art technologies such as a Neo4j graph-database, Angular web framework, RxJS asynchronous event library and D3 visualization to accomplish these goals.

resultsThe SmartGraph framework integrates high quality bioactivity data and biological pathway information resulting in a knowledgebase comprised of 420,526 unique compound-target interactions defined between 271,098 unique compounds and 2018 targets. SmartGraph then performs bioactivity predictions based on the 63,783 Bemis-Murcko scaffolds extracted from these compounds. Through several use-cases, we illustrate the use of SmartGraph to generate hypotheses for elucidating mechanism-of-action, drug-repurposing and off-target prediction. AVAILABILITY: https://smartgraph.ncats.io/.

Indexed as

Bioactivity predictionneo4jNetwork perturbationNetwork pharmacologyNetwork visualizationPathway analysisPotent chemical patternProtein–protein interactions (PPIs)ScaffoldTarget deconvolution

Identifiers

PMID33430980
PMCPMC6974502
OpenAlexW3013783109

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.