Evidence map›Paper›PMID 28131723›Full record

ArticleJournal of biomedical informatics2017

Protein biomarker druggability profiling.

Subramani Mani, Daniel Cannon, Robin Ohls, Tudor Oprea, Stephen Mathias, Karri Ballard, Oleg Ursu, Cristian Bologa

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biomedical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 53% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 2 countries.

Subramani ManiUniversity of New Mexico Health Sciences Center, Albuquerque, NM 87131, United States. Electronic address: manis@salud.unm.edu.
Daniel CannonUniversity of New Mexico Health Sciences Center, Albuquerque, NM 87131, United States. Electronic address: cannon.danielc@gmail.com.
Robin OhlsUniversity of New Mexico Health Sciences Center, Albuquerque, NM 87131, United States. Electronic address: rohls@salud.unm.edu.
Tudor OpreaUniversity of New Mexico Health Sciences Center, Albuquerque, NM 87131, United States. Electronic address: toprea@salud.unm.edu.
Stephen MathiasUniversity of New Mexico Health Sciences Center, Albuquerque, NM 87131, United States. Electronic address: smathias@salud.unm.edu.
Karri BallardMyriad RBM, Austin, TX 78759, United States. Electronic address: kballard@myriadrbm.com.
Oleg UrsuUniversity of New Mexico Health Sciences Center, Albuquerque, NM 87131, United States. Electronic address: oursu@salud.unm.edu.
Cristian BologaUniversity of New Mexico Health Sciences Center, Albuquerque, NM 87131, United States. Electronic address: cbologa@salud.unm.edu.
University of New Mexico · USMyriad (Germany) · DE

Funding

Illuminating the Druggable Genome Knowledge Management Center (IDG KMC)U54CA189205 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI OPREA, TUDOR I · 2014 to 2017
$5.7M
Biomarker Profiles for Early Diagnosis of Sepsis in NeonatesR44GM082038 · NIGMS · RULES-BASED MEDICINE, INC. · PI MAPES, JAMES P · 2007 to 2011
$1.0M
NCI NIH HHS U54 CA189205NIGMS NIH HHS R44 GM082038
6 · The paper itself

Abstract

Developing automated and interactive methods for building a model by incorporating mechanistic and potentially causal annotations of ranked biomarkers of a disease or clinical condition followed by a mapping into a contextual framework in disease-linked biochemical pathways can be used for potential drug-target evaluation and for proposing new drug targets. We demonstrate the potential of this approach using ranked protein biomarkers obtained in neonatal sepsis by enrolling 127 infants (39 infants with late onset neonatal sepsis and 88 control infants) and by performing a focused proteomic profile of the sera and by applying the interactive druggability profiling algorithm (DPA) developed by us.

Indexed as

AlgorithmsBiomarkersNeonatal SepsisProteomicsHumansInfant, NewbornBiomarkersDruggability profilingMachine learningMechanistic annotationNeonatal sepsisPathway analysisProtein biomarkers

Identifiers

PMID28131723
PMCPMC6286812
OpenAlexW2582351743

What OpenQuestion holds

Textmetadata
LicenceTDM
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.