Evidence map›Paper›PMID 33834185›Full record

ArticleBriefings in bioinformatics2021

Reusability and composability in process description maps: RAS-RAF-MEK-ERK signalling.

Alexander Mazein, Adrien Rougny, Jonathan R Karr, Julio Saez-Rodriguez, Marek Ostaszewski, Reinhard Schneider

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
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  5. 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

6 authors.

Alexander MazeinLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.
Adrien RougnyBiotechnology Research Institute for Drug Discovery, National Institute of Advanced Industrial Science and Technology (AIST), Aomi, Tokyo, Japan.
Jonathan R KarrIcahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, 10029, NY, USA.
Julio Saez-RodriguezJoint Research Centre for Computational Biomedicine (JRC-COMBINE), RWTH Aachen University, Faculty of Medicine, 52074 Aachen, Germany.
Marek OstaszewskiLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.
Reinhard SchneiderLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.

Funding

Toward whole-cell models for precision medicine and synthetic biologyR35GM119771 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KARR, JONATHAN ROSS · 2016 to 2020
$2.1M
NIGMS NIH HHS R35 GM119771
6 · The paper itself

Abstract

Detailed maps of the molecular basis of the disease are powerful tools for interpreting data and building predictive models. Modularity and composability are considered necessary network features for large-scale collaborative efforts to build comprehensive molecular descriptions of disease mechanisms. An effective way to create and manage large systems is to compose multiple subsystems. Composable network components could effectively harness the contributions of many individuals and enable teams to seamlessly assemble many individual components into comprehensive maps. We examine manually built versions of the RAS-RAF-MEK-ERK cascade from the Atlas of Cancer Signalling Network, PANTHER and Reactome databases and review them in terms of their reusability and composability for assembling new disease models. We identify design principles for managing complex systems that could make it easier for investigators to share and reuse network components. We demonstrate the main challenges including incompatible levels of detail and ambiguous representation of complexes and highlight the need to address these challenges.

Indexed as

Databases, FactualMAP Kinase Signaling SystemComputational BiologyData MiningHumansInternetModels, BiologicalNeoplasmsPhosphorylationraf Kinasesras ProteinsReproducibility of Resultsraf Kinasesras Proteinscompatibilitycomposabilitymodularityprocess descriptionquality verificationreusabilitysystems biology

Identifiers

PMID33834185
PMCPMC8425390

What OpenQuestion holds

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LicenceCC BY
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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.