OCSANA+: optimal control and simulation of signaling networks from network analysis | Zendy

Lauren Marazzi | Zendy; Andrew Gainer-Dewar | Zendy; Paola VeraLicona | Zendy

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OCSANA+: optimal control and simulation of signaling networks from network analysis

Author(s) -

Lauren Marazzi,

Andrew Gainer-Dewar,

Paola VeraLicona

Publication year - 2020

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btaa625

Subject(s) - computer science , source code , software , network topology , network analysis , signal flow graph , computation , node (physics) , enhanced data rates for gsm evolution , complex network , interface (matter) , data mining , code (set theory) , distributed computing , theoretical computer science , algorithm , artificial intelligence , computer network , programming language , operating system , world wide web , physics , structural engineering , bubble , set (abstract data type) , maximum bubble pressure method , electrical engineering , quantum mechanics , engineering

OCSANA+ is a Cytoscape app for identifying nodes to drive the system toward a desired long-term behavior, prioritizing combinations of interventions in large-scale complex networks, and estimating the effects of node perturbations in signaling networks, all based on the analysis of the network's structure. OCSANA+ includes an update to optimal combinations of interventions from network analysis software tool with cutting-edge and rigorously tested algorithms, together with recently developed structure-based control algorithms for non-linear systems and an algorithm for estimating signal flow. All these algorithms are based on the network's topology. OCSANA+ is implemented as a Cytoscape app to enable a user interface for running analyses and visualizing results.

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