ArticleBMC systems biology2013
NaviCell: a web-based environment for navigation, curation and maintenance of large molecular interaction maps.
Article in BMC systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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.
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.
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Who cites it
31 citing papers in PubMed.
- Mechanotransduction and inflammation: An updated comprehensive representation.Mechanobiology in medicine · 2025Article
- BioKC: a collaborative platform for curation and annotation of molecular interactions.Database : the journal of biological databases and curation · 2024Article
- A guide for developing comprehensive systems biology maps of disease mechanisms: planning, construction and maintenance.Frontiers in bioinformatics · 2023Article
- Applications of Boolean modeling to study the dynamics of a complex disease and therapeutics responses.Frontiers in bioinformatics · 2023Article
- Boolean modelling as a logic-based dynamic approach in systems medicine.Computational and structural biotechnology journal · 2022Review
- Converting disease maps into heavyweight ontologies: general methodology and application to Alzheimer's disease.Database : the journal of biological databases and curation · 2021Article
- Closing the gap between formats for storing layout information in systems biology.Briefings in bioinformatics · 2020Article
- Comprehensive Map of the Regulated Cell Death Signaling Network: A Powerful Analytical Tool for Studying Diseases.Cancers · 2020Article
- Collective intelligence defines biological functions in Wikipedia as communities in the hidden protein connection network.PLoS computational biology · 2020Article
- A multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures.Nature communications · 2019Article
- The 2017 Network Tools and Applications in Biology (NETTAB) workshop: aims, topics and outcomes.BMC bioinformatics · 2019Article
- Metabolic and signalling network maps integration: application to cross-talk studies and omics data analysis in cancer.BMC bioinformatics · 2019Article
- Community-driven roadmap for integrated disease maps.Briefings in bioinformatics · 2019Review
- Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0.Nature protocols · 2019Article
- From hype to reality: data science enabling personalized medicine.BMC medicine · 2018Article
- A graphical and computational modeling platform for biological pathways.Nature protocols · 2018Article
- Reactome diagram viewer: data structures and strategies to boost performance.Bioinformatics (Oxford, England) · 2018Article
- Signalling maps in cancer research: construction and data analysis.Database : the journal of biological databases and curation · 2018Article
- Systems medicine disease maps: community-driven comprehensive representation of disease mechanisms.NPJ systems biology and applications · 2018Article
- Reactome enhanced pathway visualization.Bioinformatics (Oxford, England) · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMolecular biology knowledge can be formalized and systematically represented in a computer-readable form as a comprehensive map of molecular interactions. There exist an increasing number of maps of molecular interactions containing detailed and step-wise description of various cell mechanisms. It is difficult to explore these large maps, to organize discussion of their content and to maintain them. Several efforts were recently made to combine these capabilities together in one environment, and NaviCell is one of them.
resultsNaviCell is a web-based environment for exploiting large maps of molecular interactions, created in CellDesigner, allowing their easy exploration, curation and maintenance. It is characterized by a combination of three essential features: (1) efficient map browsing based on Google Maps; (2) semantic zooming for viewing different levels of details or of abstraction of the map and (3) integrated web-based blog for collecting community feedback. NaviCell can be easily used by experts in the field of molecular biology for studying molecular entities of interest in the context of signaling pathways and crosstalk between pathways within a global signaling network. NaviCell allows both exploration of detailed molecular mechanisms represented on the map and a more abstract view of the map up to a top-level modular representation. NaviCell greatly facilitates curation, maintenance and updating the comprehensive maps of molecular interactions in an interactive and user-friendly fashion due to an imbedded blogging system.
conclusionsNaviCell provides user-friendly exploration of large-scale maps of molecular interactions, thanks to Google Maps and WordPress interfaces, with which many users are already familiar. Semantic zooming which is used for navigating geographical maps is adopted for molecular maps in NaviCell, making any level of visualization readable. In addition, NaviCell provides a framework for community-based curation of maps.
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What OpenQuestion holds
Registered trials
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.