ArticleDatabase : the journal of biological databases and curation2015
Merging and scoring molecular interactions utilising existing community standards: tools, use-cases and a case study.
Article in Database : the journal of biological databases and curation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.
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Who cites it
49 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Network and Pathway Analysis of Genes Associated With Atrial Fibrillation.Cardiovascular therapeutics · 2024Pooled it
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- Network Analysis to Identify MicroRNAs Involved in Alzheimer's Disease and to Improve Drug Prioritization.Biomedicines · 2026Article
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- AlphaFold models of host-pathogen interactions elucidate the prevalence and structural modes of molecular mimicry.bioRxiv : the preprint server for biology · 2025Article
- What Have Data Standards Ever Done for Us?Molecular & cellular proteomics : MCP · 2025Review
- An integrative systems-biology approach defines mechanisms of Alzheimer's disease neurodegeneration.Nature communications · 2025Article
- CellPHIE: Integrating Pathway Discovery With Pooled Profiling of Perturbations Uncovers Pathways of Huntington's Disease, Including Genetic Modifiers of Neuronal Development and Morphology.bioRxiv : the preprint server for biology · 2025Article
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- Integrated Analysis of microRNA Targets Reveals New Insights into Transcriptional-Post-Transcriptional Regulatory Cross-Talk.Biology · 2025Article
- Heterogeneous graph neural networks for link prediction in biomedical networks.Bioinformatics advances · 2025Review
- CilioGenics: an integrated method and database for predicting novel ciliary genes.Nucleic acids research · 2024Article
- Salivary proteomic signatures in severe dental fluorosis.Scientific reports · 2024Article
- Predicting human and viral protein variants affecting COVID-19 susceptibility and repurposing therapeutics.Scientific reports · 2024Article
- The landscape of microRNA interaction annotation: analysis of three rare disorders as a case study.Database : the journal of biological databases and curation · 2023Article
- A network paradigm predicts drug synergistic effects using downstream protein-protein interactions.CPT: pharmacometrics & systems pharmacology · 2022Article
- Multilayered Networks of SalmoNet2 Enable Strain Comparisons of the Salmonella Genus on a Molecular Level.mSystems · 2022Article
- From random to predictive: a context-specific interaction framework improves selection of drug protein-protein interactions for unknown drug pathways.Integrative biology : quantitative biosciences from nano to macro · 2022Article
- The IntAct database: efficient access to fine-grained molecular interaction data.Nucleic acids research · 2022Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
The evidence that two molecules interact in a living cell is often inferred from multiple different experiments. Experimental data is captured in multiple repositories, but there is no simple way to assess the evidence of an interaction occurring in a cellular environment. Merging and scoring of data are commonly required operations after querying for the details of specific molecular interactions, to remove redundancy and assess the strength of accompanying experimental evidence. We have developed both a merging algorithm and a scoring system for molecular interactions based on the proteomics standard initiative-molecular interaction standards. In this manuscript, we introduce these two algorithms and provide community access to the tool suite, describe examples of how these tools are useful to selectively present molecular interaction data and demonstrate a case where the algorithms were successfully used to identify a systematic error in an existing dataset.
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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.