Literature DB >> 23386744

Therapeutic hints from analyzing the attractor landscape of the p53 regulatory circuit.

Wei Wang1.   

Abstract

Genes are interconnected in the cell to form a genetic network that regulates cell fate. Targeting multiple genes is expected to be more effective in developing therapeutics than targeting single genes. A recent study demonstrated the possibility of systematically searching for such combinatorial treatments by characterizing the attractor landscape of the p53 regulatory circuit.

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Year:  2013        PMID: 23386744     DOI: 10.1126/scisignal.2003820

Source DB:  PubMed          Journal:  Sci Signal        ISSN: 1945-0877            Impact factor:   8.192


  5 in total

Review 1.  Modeling the epigenetic attractors landscape: toward a post-genomic mechanistic understanding of development.

Authors:  Jose Davila-Velderrain; Juan C Martinez-Garcia; Elena R Alvarez-Buylla
Journal:  Front Genet       Date:  2015-04-23       Impact factor: 4.599

2.  Molecular network control through boolean canalization.

Authors:  David Murrugarra; Elena S Dimitrova
Journal:  EURASIP J Bioinform Syst Biol       Date:  2015-11-04

3.  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

4.  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

5.  ATLANTIS - Attractor Landscape Analysis Toolbox for Cell Fate Discovery and Reprogramming.

Authors:  Osama Shiraz Shah; Muhammad Faizyab Ali Chaudhary; Hira Anees Awan; Fizza Fatima; Zainab Arshad; Bibi Amina; Maria Ahmed; Hadia Hameed; Muhammad Furqan; Shareef Khalid; Amir Faisal; Safee Ullah Chaudhary
Journal:  Sci Rep       Date:  2018-02-23       Impact factor: 4.379

  5 in total

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