ArticleNucleic acids research2015
MyProteinNet: build up-to-date protein interaction networks for organisms, tissues and user-defined contexts.
Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- IID 2025: Physical protein interaction data with detection types, co-purified protein sets, molecular docking, and immune cell networks.Nucleic acids research · 2026Article
- Human clearance systems have a layered architecture across tissues and cell types that supports varied proteome compositions.Autophagy · 2026Article
- Tissue-aware interpretation of genetic variants advances the etiology of rare diseases.Molecular systems biology · 2024Article
- Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes.Genome biology · 2024Article
- From network analysis to experimental validation: identification of regulators of non-muscle myosin II contractility using the folded-gastrulation signaling pathway.BMC molecular and cell biology · 2023Article
- Predicting molecular mechanisms of hereditary diseases by using their tissue-selective manifestation.Molecular systems biology · 2023Article
- Uncovering Protein Networks in Cardiovascular Proteomics.Molecular & cellular proteomics : MCP · 2023Review
- RPpocket: An RNA-Protein Intuitive Database with RNA Pocket Topology Resources.International journal of molecular sciences · 2022Article
- IID 2021: towards context-specific protein interaction analyses by increased coverage, enhanced annotation and enrichment analysis.Nucleic acids research · 2022Article
- PINA 3.0: mining cancer interactome.Nucleic acids research · 2021Article
- Detecting Rewiring Events in Protein-Protein Interaction Networks Based on Transcriptomic Data.Frontiers in bioinformatics · 2021Review
- CSN: unsupervised approach for inferring biological networks based on the genome alone.BMC bioinformatics · 2020Article
- Measuring rank robustness in scored protein interaction networks.BMC bioinformatics · 2019Article
- ResponseNet v.3: revealing signaling and regulatory pathways connecting your proteins and genes across human tissues.Nucleic acids research · 2019Article
- IID 2018 update: context-specific physical protein-protein interactions in human, model organisms and domesticated species.Nucleic acids research · 2019Article
- Identification of active signaling pathways by integrating gene expression and protein interaction data.BMC systems biology · 2018Article
- Role of duplicate genes in determining the tissue-selectivity of hereditary diseases.PLoS genetics · 2018Article
- The DifferentialNet database of differential protein-protein interactions in human tissues.Nucleic acids research · 2018Article
- HIPPIE v2.0: enhancing meaningfulness and reliability of protein-protein interaction networks.Nucleic acids research · 2017Article
- The TissueNet v.2 database: A quantitative view of protein-protein interactions across human tissues.Nucleic acids research · 2017Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The identification of the molecular pathways active in specific contexts, such as disease states or drug responses, often requires an extensive view of the potential interactions between a subset of proteins. This view is not easily obtained: it requires the integration of context-specific protein list or expression data with up-to-date data of protein interactions that are typically spread across multiple databases. The MyProteinNet web server allows users to easily create such context-sensitive protein interaction networks. Users can automatically gather and consolidate data from up to 11 different databases to create a generic protein interaction network (interactome). They can score the interactions based on reliability and filter them by user-defined contexts including molecular expression and protein annotation. The output of MyProteinNet includes the generic and filtered interactome files, together with a summary of their network attributes. MyProteinNet is particularly geared toward building human tissue interactomes, by maintaining tissue expression profiles from multiple resources. The ability of MyProteinNet to facilitate the construction of up-to-date, context-specific interactomes and its applicability to 11 different organisms and to tens of human tissues, make it a powerful tool in meaningful analysis of protein networks. MyProteinNet is available at http://netbio.bgu.ac.il/myproteinnet.
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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.