ArticleDatabase : the journal of biological databases and curation2020
RA-map: building a state-of-the-art interactive knowledge base for rheumatoid arthritis.
Article in Database : the journal of biological databases and curation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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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.
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Who cites it
22 citing papers in PubMed, 46 citations in OpenAlex.
- The SjD Map: an interactive pathway tour into Sjögren's disease signalling mechanisms.NPJ systems biology and applications · 2026Article
- Leveraging public AI tools to explore systems biology resources in mathematical modeling.NPJ systems biology and applications · 2025Article
- Integrative molecular network analysis of genetic risk factors to infer biomarkers and therapeutic targets for rheumatoid arthritis.PloS one · 2025Article
- Immune digital twins for complex human pathologies: applications, limitations, and challenges.NPJ systems biology and applications · 2024Review
- Multicohort study testing the generalisability of the SASKit-ML stroke and PDAC prognostic model pipeline to other chronic diseases.BMJ open · 2024Article
- Comprehensive molecular interaction map of TGFβ induced epithelial to mesenchymal transition in breast cancer.NPJ systems biology and applications · 2024Article
- A large-scale Boolean model of the rheumatoid arthritis fibroblast-like synoviocytes predicts drug synergies in the arthritic joint.NPJ systems biology and applications · 2023Article
- ERβ1 Sensitizes and ERβ2 Desensitizes ERα-Positive Breast Cancer Cells to the Inhibitory Effects of Tamoxifen, Fulvestrant and Their Combination with All-Trans Retinoic Acid.International journal of molecular sciences · 2023Article
- A guide for developing comprehensive systems biology maps of disease mechanisms: planning, construction and maintenance.Frontiers in bioinformatics · 2023Article
- Visualization of automatically combined disease maps and pathway diagrams for rare diseases.Frontiers in bioinformatics · 2023Article
- Drug-target identification in COVID-19 disease mechanisms using computational systems biology approaches.Frontiers in immunology · 2023Article
- Metabolic reprogramming in Rheumatoid Arthritis Synovial Fibroblasts: A hybrid modeling approach.PLoS computational biology · 2022Article
- CyFi-MAP: an interactive pathway-based resource for cystic fibrosis.Scientific reports · 2021Article
- Humans and machines in biomedical knowledge curation: hypertrophic cardiomyopathy molecular mechanisms' representation.BioData mining · 2021Article
- Inference of an Integrative, Executable Network for Rheumatoid Arthritis Combining Data-Driven Machine Learning Approaches and a State-of-the-Art Mechanistic Disease Map.Journal of personalized medicine · 2021Article
- The status of causality in biological databases: data resources and data retrieval possibilities to support logical modeling.Briefings in bioinformatics · 2021Article
- The Potential of OMICs Technologies for the Treatment of Immune-Mediated Inflammatory Diseases.International journal of molecular sciences · 2021Review
- Setting the basis of best practices and standards for curation and annotation of logical models in biology-highlights of the [BC]2 2019 CoLoMoTo/SysMod Workshop.Briefings in bioinformatics · 2021Review
- Nutrition and Rheumatoid Arthritis in the 'Omics' Era.Nutrients · 2021Review
- Converting disease maps into heavyweight ontologies: general methodology and application to Alzheimer's disease.Database : the journal of biological databases and curation · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rheumatoid arthritis (RA) is a progressive, inflammatory autoimmune disease of unknown aetiology. The complex mechanism of aetiopathogenesis, progress and chronicity of the disease involves genetic, epigenetic and environmental factors. To understand the molecular mechanisms underlying disease phenotypes, one has to place implicated factors in their functional context. However, integration and organization of such data in a systematic manner remains a challenging task. Molecular maps are widely used in biology to provide a useful and intuitive way of depicting a variety of biological processes and disease mechanisms. Recent large-scale collaborative efforts such as the Disease Maps Project demonstrate the utility of such maps as versatile tools to organize and formalize disease-specific knowledge in a comprehensive way, both human and machine-readable. We present a systematic effort to construct a fully annotated, expert validated, state-of-the-art knowledge base for RA in the form of a molecular map. The RA map illustrates molecular and signalling pathways implicated in the disease. Signal transduction is depicted from receptors to the nucleus using the Systems Biology Graphical Notation (SBGN) standard representation. High-quality manual curation, use of only human-specific studies and focus on small-scale experiments aim to limit false positives in the map. The state-of-the-art molecular map for RA, using information from 353 peer-reviewed scientific publications, comprises 506 species, 446 reactions and 8 phenotypes. The species in the map are classified to 303 proteins, 61 complexes, 106 genes, 106 RNA entities, 2 ions and 7 simple molecules. The RA map is available online at ramap.elixir-luxembourg.org as an open-access knowledge base allowing for easy navigation and search of molecular pathways implicated in the disease. Furthermore, the RA map can serve as a template for omics data visualization.
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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.