Evidence map›Paper›PMID 36373969›Full record

ArticleBioinformatics (Oxford, England)2023

RaMP-DB 2.0: a renovated knowledgebase for deriving biological and chemical insight from metabolites, proteins, and genes.

John Braisted, Andrew Patt, Cole Tindall, Timothy Sheils, Jorge Neyra, Kyle Spencer, Tara Eicher, Ewy A Mathé

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

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  9. Metabolite names and identifiers: how far are we from interoperability?Metabolomics : Official journal of the Metabolomic Society · 2026
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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

8 authors.

John BraistedDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, Rockville, MD 20850, USA.ORCID 0000-0001-8093-6463
Andrew PattDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, Rockville, MD 20850, USA.ORCID 0000-0002-6373-9545
Cole TindallDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, Rockville, MD 20850, USA.
Timothy SheilsDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, Rockville, MD 20850, USA.ORCID 0000-0002-9987-3738
Jorge NeyraSomatus, McLean, VA 22102, USA.
Kyle SpencerDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, Rockville, MD 20850, USA.ORCID 0000-0002-6720-5348
Tara EicherDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, Rockville, MD 20850, USA.ORCID 0000-0003-1809-4458
Ewy A MathéDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, Rockville, MD 20850, USA.ORCID 0000-0003-4491-8107

Funding

Informatics Research CoreZICTR000410 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI MATHÉ, EWY · 2021 to 2025
$11.7M
Intramural NIH HHS ZIC TR000410
6 · The paper itself

Abstract

motivationFunctional interpretation of high-throughput metabolomic and transcriptomic results is a crucial step in generating insight from experimental data. However, pathway and functional information for genes and metabolites are distributed among many siloed resources, limiting the scope of analyses that rely on a single knowledge source.

resultsRaMP-DB 2.0 is a web interface, relational database, API and R package designed for straightforward and comprehensive functional interpretation of metabolomic and multi-omic data. RaMP-DB 2.0 has been upgraded with an expanded breadth and depth of functional and chemical annotations (ClassyFire, LIPID MAPS, SMILES, InChIs, etc.), with new data types related to metabolites and lipids incorporated. To streamline entity resolution across multiple source databases, we have implemented a new semi-automated process, thereby lessening the burden of harmonization and supporting more frequent updates. The associated RaMP-DB 2.0 R package now supports queries on pathways, common reactions (e.g. metabolite-enzyme relationship), chemical functional ontologies, chemical classes and chemical structures, as well as enrichment analyses on pathways (multi-omic) and chemical classes. Lastly, the RaMP-DB web interface has been completely redesigned using the Angular framework. AVAILABILITY AND IMPLEMENTATION: The code used to build all components of RaMP-DB 2.0 are freely available on GitHub at https://github.com/ncats/ramp-db, https://github.com/ncats/RaMP-Client/ and https://github.com/ncats/RaMP-Backend. The RaMP-DB web application can be accessed at https://rampdb.nih.gov/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

MetabolomicsSoftwareDatabases, FactualGene Expression ProfilingKnowledge BasesProteinsProteins

Identifiers

PMID36373969
PMCPMC9825745

What OpenQuestion holds

Textmetadata
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.