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ANAT 3.0: a framework for elucidating functional protein subnetworks using graph-theoretic and machine learning
L F Signorini1,2, T Almozlino1, R Sharan3
1Blavatnik School of Computer Science, Tel Aviv University, 6997801, Tel Aviv, Israel.
Background:
ANAT is a Cytoscape plugin for the inference of functional protein-protein interaction networks in yeast and human. It is a flexible graphical tool for scientists to explore and elucidate the protein-protein interaction pathways of a process under study.
Results:
Here we present ANAT3.0, which comes with updated PPI network databases of 544,455 (human) and 155,504 (yeast) interactions, and a new machine-learning layer for refined network elucidation. Together they improve network reconstruction to more than twofold increase in the quality of reconstructing known signaling pathways from KEGG.
Conclusions:
ANAT3.0 includes improved network reconstruction algorithms and more comprehensive protein-protein interaction networks than previous versions. ANAT is available for download on the Cytoscape Appstore and at https://www.cs.tau.ac.il/~bnet/ANAT/ .
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