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Updated: Mar 27, 2026

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
Published on: January 26, 2024
Path2PPI: an R package to predict protein-protein interaction networks for a set of proteins
Oliver Philipp1, Heinz D Osiewacz2, Ina Koch3
1Molecular Bioinformatics, Institute of Computer Science, Faculty of Computer Science and Mathematics & Cluster of Excellence 'Macromolecular Complexes', Goethe-University, Frankfurt am Main, Germany and Molecular Developmental Biology, Institute of Molecular Biosciences, Faculty for Biosciences & Cluster of Excellence 'Macromolecular Complexes', Goethe-University, Frankfurt am Main, Germany.
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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