Literature DB >> 23626000

OCSANA: optimal combinations of interventions from network analysis.

Paola Vera-Licona1, Eric Bonnet, Emmanuel Barillot, Andrei Zinovyev.   

Abstract

UNLABELLED: Targeted therapies interfering with specifically one protein activity are promising strategies in the treatment of diseases like cancer. However, accumulated empirical experience has shown that targeting multiple proteins in signaling networks involved in the disease is often necessary. Thus, one important problem in biomedical research is the design and prioritization of optimal combinations of interventions to repress a pathological behavior, while minimizing side-effects. OCSANA (optimal combinations of interventions from network analysis) is a new software designed to identify and prioritize optimal and minimal combinations of interventions to disrupt the paths between source nodes and target nodes. When specified by the user, OCSANA seeks to additionally minimize the side effects that a combination of interventions can cause on specified off-target nodes. With the crucial ability to cope with very large networks, OCSANA includes an exact solution and a novel selective enumeration approach for the combinatorial interventions' problem. AVAILABILITY: The latest version of OCSANA, implemented as a plugin for Cytoscape and distributed under LGPL license, is available together with source code at http://bioinfo.curie.fr/projects/ocsana.

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Year:  2013        PMID: 23626000     DOI: 10.1093/bioinformatics/btt195

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  7 in total

1.  Control of Intracellular Molecular Networks Using Algebraic Methods.

Authors:  Luis Sordo Vieira; Reinhard C Laubenbacher; David Murrugarra
Journal:  Bull Math Biol       Date:  2019-12-23       Impact factor: 1.758

2.  Macrophage mediated recognition and clearance of Borrelia burgdorferi elicits MyD88-dependent and -independent phagosomal signals that contribute to phagocytosis and inflammation.

Authors:  Sarah J Benjamin; Kelly L Hawley; Paola Vera-Licona; Carson J La Vake; Jorge L Cervantes; Yijun Ruan; Justin D Radolf; Juan C Salazar
Journal:  BMC Immunol       Date:  2021-05-17       Impact factor: 3.615

3.  Systems medicine disease maps: community-driven comprehensive representation of disease mechanisms.

Authors:  Alexander Mazein; Marek Ostaszewski; Inna Kuperstein; Steven Watterson; Nicolas Le Novère; Diane Lefaudeux; Bertrand De Meulder; Johann Pellet; Irina Balaur; Mansoor Saqi; Maria Manuela Nogueira; Feng He; Andrew Parton; Nathanaël Lemonnier; Piotr Gawron; Stephan Gebel; Pierre Hainaut; Markus Ollert; Ugur Dogrusoz; Emmanuel Barillot; Andrei Zinovyev; Reinhard Schneider; Rudi Balling; Charles Auffray
Journal:  NPJ Syst Biol Appl       Date:  2018-06-02

4.  A Boolean network control algorithm guided by forward dynamic programming.

Authors:  Mohammad Moradi; Sama Goliaei; Mohammad-Hadi Foroughmand-Araabi
Journal:  PLoS One       Date:  2019-05-02       Impact factor: 3.240

5.  Identification of control targets in Boolean molecular network models via computational algebra.

Authors:  David Murrugarra; Alan Veliz-Cuba; Boris Aguilar; Reinhard Laubenbacher
Journal:  BMC Syst Biol       Date:  2016-09-23

Review 6.  A comparison of mechanistic signaling pathway activity analysis methods.

Authors:  Alicia Amadoz; Marta R Hidalgo; Cankut Çubuk; José Carbonell-Caballero; Joaquín Dopazo
Journal:  Brief Bioinform       Date:  2019-09-27       Impact factor: 11.622

7.  The landscape of receptor-mediated precision cancer combination therapy via a single-cell perspective.

Authors:  Saba Ahmadi; Pattara Sukprasert; Rahulsimham Vegesna; Sanju Sinha; Fiorella Schischlik; Natalie Artzi; Samir Khuller; Alejandro A Schäffer; Eytan Ruppin
Journal:  Nat Commun       Date:  2022-03-25       Impact factor: 17.694

  7 in total

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