Evidence mapPaperPMID 26601758Full record

ArticleScientific data2015

VenomKB, a new knowledge base for facilitating the validation of putative venom therapies.

Joseph D Romano, Nicholas P Tatonetti

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Using a Novel Ontology to Inform the Discovery of Therapeutic Peptides from Animal Venoms.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2016
    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

2 authors at 1 institution in 1 country.

Joseph D RomanoDepartment of Biomedical Informatics, Columbia University Medical Center, New York, New York 10032, USA.ORCID http://orcid.org/0000-0002-7999-4399
Nicholas P TatonettiDepartment of Biomedical Informatics, Columbia University Medical Center, New York, New York 10032, USA.
Columbia University Irving Medical Center · US

Funding

Training in Biomedical Informatics at Columbia UniversityT15LM007079 · COLUMBIA UNIV NEW YORK MORNINGSIDE · 1992 to 2025
$8.3M
NIGMS NIH HHS R01 GM107145NIGMS NIH HHS R01GM107145NLM NIH HHS T15 LM007079NLM NIH HHS T15LM007079
6 · The paper itself

Abstract

Animal venoms have been used for therapeutic purposes since the dawn of recorded history. Only a small fraction, however, have been tested for pharmaceutical utility. Modern computational methods enable the systematic exploration of novel therapeutic uses for venom compounds. Unfortunately, there is currently no comprehensive resource describing the clinical effects of venoms to support this computational analysis. We present VenomKB, a new publicly accessible knowledge base and website that aims to act as a repository for emerging and putative venom therapies. Presently, it consists of three database tables: (1) Manually curated records of putative venom therapies supported by scientific literature, (2) automatically parsed MEDLINE articles describing compounds that may be venom derived, and their effects on the human body, and (3) automatically retrieved records from the new Semantic Medline resource that describe the effects of venom compounds on mammalian anatomy. Data from VenomKB may be selectively retrieved in a variety of popular data formats, are open-source, and will be continually updated as venom therapies become better understood.

Indexed as

Databases, FactualAnimalsHumansKnowledge BasesVenomsVenoms

Identifiers

PMID26601758
PMCPMC4658572
OpenAlexW2173212982

What Socratic 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 Socratic graph.