ArticleProteomics2009
Systematic prediction of human membrane receptor interactions.
Article in Proteomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 22 citations in OpenAlex.
- Benchmark Evaluation of Protein-Protein Interaction Prediction Algorithms.Molecules (Basel, Switzerland) · 2021Article
- Predicted protein interactions of IFITMs may shed light on mechanisms of Zika virus-induced microcephaly and host invasion.F1000Research · 2016Article
- Schizophrenia interactome with 504 novel protein-protein interactions.NPJ schizophrenia · 2016Article
- Research prioritization through prediction of future impact on biomedical science: a position paper on inference-analytics.GigaScience · 2013Article
- Multitask learning for host-pathogen protein interactions.Bioinformatics (Oxford, England) · 2013Article
- Novel semantic similarity measure improves an integrative approach to predicting gene functional associations.BMC systems biology · 2013Article
- An efficient heuristic method for active feature acquisition and its application to protein-protein interaction prediction.BMC proceedings · 2012Article
- The cytoplasmic rhodopsin-protein interface: potential for drug discovery.Current drug targets · 2012Review
- The current Salmonella-host interactome.Proteomics. Clinical applications · 2012Review
- Large-scale de novo prediction of physical protein-protein association.Molecular & cellular proteomics : MCP · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
Abstract
Membrane receptor-activated signal transduction pathways are integral to cellular functions and disease mechanisms in humans. Identification of the full set of proteins interacting with membrane receptors by high-throughput experimental means is difficult because methods to directly identify protein interactions are largely not applicable to membrane proteins. Unlike prior approaches that attempted to predict the global human interactome, we used a computational strategy that only focused on discovering the interacting partners of human membrane receptors leading to improved results for these proteins. We predict specific interactions based on statistical integration of biological data containing highly informative direct and indirect evidences together with feedback from experts. The predicted membrane receptor interactome provides a system-wide view, and generates new biological hypotheses regarding interactions between membrane receptors and other proteins. We have experimentally validated a number of these interactions. The results suggest that a framework of systematically integrating computational predictions, global analyses, biological experimentation and expert feedback is a feasible strategy to study the human membrane receptor interactome.
Indexed as
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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.