ArticleBioinformatics (Oxford, England)2016
Path2PPI: an R package to predict protein-protein interaction networks for a set of proteins.
Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Protein network analysis and functional enrichment via computational biotechnology unravel molecular and pathogenic mechanisms of kidney stone disease.Biomedical journal · 2023Review
- Review
- APPINetwork: an R package for building and computational analysis of protein-protein interaction networks.PeerJ · 2022Article
- Multifaceted protein-protein interaction prediction based on Siamese residual RCNN.Bioinformatics (Oxford, England) · 2019Article
- The autophagy interaction network of the aging model Podospora anserina.BMC bioinformatics · 2017Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
unlabelled: We introduce Path2PPI, a new R package to identify protein-protein interaction (PPI) networks for fully sequenced organisms for which nearly none PPI are known. Path2PPI predicts PPI networks based on sets of proteins from well-established model organisms, providing an intuitive visualization and usability. It can be used to combine and transfer information of a certain pathway or biological process from several reference organisms to one target organism. AVAILABILITY AND IMPLEMENTATION: Path2PPI is an open-source tool implemented in R. It can be obtained from the Bioconductor project: http://bioconductor.org/packages/Path2PPI/ CONTACT: : ina.koch@bioinformatik.uni-frankfurt.de SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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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.