ArticleMethods in molecular biology (Clifton, N.J.)2022
IMEx Databases: Displaying Molecular Interactions into a Single, Standards-Compliant Dataset.
Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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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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
7 citing papers in PubMed.
- Locus- and Gene-Level Insights into the Inverse Association Between Alzheimer's Disease and Cancer.International journal of molecular sciences · 2026Article
- Cancer cell-intrinsic inflammasome protein ASC links innate immunity with mitochondrial metabolism in driving pancreatic cancer.Nature communications · 2026Article
- A Systems Biology Approach for Prioritizing ASD Genes in Large or Noisy Datasets.International journal of molecular sciences · 2025Article
- LATS2 and FAT4 as key candidate genes of hippo pathway associated with the risk and progression of breast cancer: an in-silico approach.Scientific reports · 2024Article
- Utilizing systems genetics to enhance understanding into molecular targets of skin cancer.Experimental dermatology · 2024Review
- The alliance of genome resources: transforming comparative genomics.Mammalian genome : official journal of the International Mammalian Genome Society · 2023Review
- Multi-omics analysis of MRPL-13 as a tumor-promoting marker from pan-cancer to lung adenocarcinoma.Aging · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Molecular interaction databases aim to systematically capture and organize the experimental interaction information described in the scientific literature. These data can then be used to perform network analysis, to assign putative roles to uncharacterized proteins and to investigate their involvement in cellular pathways.This chapter gives a brief overview of publicly available molecular interaction databases and focuses on the members of the IMEx Consortium, on their curation policies and standard data formats. All of the goals achieved by IMEx databases over the last 15 years, the data types provided and the many different ways in which such data can be utilized by the research community, are described in detail. The IMEx databases curate molecular interaction data to the highest caliber, following a detailed curation model and supplying rich metadata by employing common curation rules and harmonized standards. The IMEx Consortium provides comprehensively annotated molecular interaction data integrated into a single, non-redundant, open access dataset.
Indexed as
Identifiers
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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.