Evidence map›Paper›PMID 31070726›Full record

ArticleBioinformatics (Oxford, England)2019

INDRA-IPM: interactive pathway modeling using natural language with automated assembly.

Petar V Todorov, Benjamin M Gyori, John A Bachman, Peter K Sorger

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
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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

4 authors.

Petar V TodorovLaboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, USA.
Benjamin M GyoriLaboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, USA.
John A BachmanLaboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, USA.
Peter K SorgerLaboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, USA.

Funding

TRANSLATIONAL PHARMACOLOGY COREP50GM107618 · NIGMS · HARVARD MEDICAL SCHOOL · PI MALISZEWSKI, LAURA ELIZABETH · 2014 to 2018
$10.8M
NIGMS NIH HHS P50 GM107618
6 · The paper itself

Abstract

summaryINDRA-IPM (Interactive Pathway Map) is a web-based pathway map modeling tool that combines natural language processing with automated model assembly and visualization. INDRA-IPM contextualizes models with expression data and exports them to standard formats. AVAILABILITY AND IMPLEMENTATION: INDRA-IPM is available at: http://pathwaymap.indra.bio. Source code is available at http://github.com/sorgerlab/indra_pathway_map. The underlying web service API is available at http://api.indra.bio:8000. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

ComputersSoftwareNatural Language Processing

Identifiers

PMID31070726
PMCPMC6821420

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.