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PlanNET: homology-based predicted interactome for multiple planarian transcriptomes
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Motivation: Planarians are emerging as a model organism to study regeneration in animals. However, the little available data of protein-protein interactions hinders the advances in understanding the mechanisms underlying its regenerating capabilities. Results: We have developed a protocol to predict protein-protein interactions using sequence homology data and a reference Human interactome. This methodology was applied on eleven Schmidtea mediterranea transcriptomic sequence datasets. Then, using Neo4j as our database manager, we developed PlanNET, a web application to explore the multiplicity of networks and the associated sequence annotations. By mapping RNA-seq expression experiments onto the predicted networks, and allowing a transcript-centric exploration of the planarian interactome, we provide researchers with a useful tool to analyse possible pathways and to design new experiments, as well as a reproducible methodology to predict, store, and explore protein interaction networks for non-model organisms. Availability: The web application PlanNET is available at https://compgen.bio.ub.edu/PlanNET. The source code used is available at https://compgen.bio.ub.edu/PlanNET/downloads.
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CASTILLO-LARA, Sergio, ABRIL FERRANDO, Josep francesc. PlanNET: homology-based predicted interactome for multiple planarian transcriptomes. _Bioinformatics_. 2017. Vol. 34, núm. 6, pàgs. 1016-1023. [consulta: 25 de febrer de 2026]. ISSN: 1367-4803. [Disponible a: https://hdl.handle.net/2445/195344]