ArticleScientific reports2014
GeneSense: a new approach for human gene annotation integrated with protein-protein interaction networks.
Article in Scientific reports, 2014. 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.
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.
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Who cites it
7 citing papers in PubMed.
- Whole-exome sequencing study of hypospadias.iScience · 2023Article
- Molecular genetics and general management of androgen insensitivity syndrome.Intractable & rare diseases research · 2023Review
- Involvement of NEK2 and its interaction with NDC80 and CEP250 in hepatocellular carcinoma.BMC medical genomics · 2020Article
- Dysregulated expression of androgen metabolism genes and genetic analysis in hypospadias.Molecular genetics & genomic medicine · 2020Article
- Genome-wide association study in Chinese cohort identifies one novel hypospadias risk associated locus at 12q13.13.BMC medical genomics · 2019Article
- PTIR: Predicted Tomato Interactome Resource.Scientific reports · 2016Article
- An Atlas of the Human Kinome Reveals the Mutational Landscape Underlying Dysregulated Phosphorylation Cascades in Cancer.Cancer research · 2016Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Virtually all cellular functions involve protein-protein interactions (PPIs). As an increasing number of PPIs are identified and vast amount of information accumulated, researchers are finding different ways to interrogate the data and understand the interactions in context. However, it is widely recognized that a significant portion of the data is scattered, redundant, not considered high quality, and not readily accessible to researchers in a systematic fashion. In addition, it is challenging to identify the optimal protein targets in the current PPI networks. The GeneSense server was developed to integrate gene annotation and PPI networks in an expandable architecture that incorporates selected databases with the aim to assemble, analyze, evaluate and disseminate protein-protein association information in a comprehensive and user-friendly manner. Three network models including nodenet, leafnet and loopnet are used to identify the optimal protein targets in the complex networks. GeneSense is freely available at www.biomedsense.org/genesense.php.
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Registered trials
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