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Therapeutic target discovery using Boolean network attractors: avoiding pathological phenotypes

Therapeutic target discovery using Boolean network attractors: avoiding pathological phenotypes

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2082328792

Therapeutic target discovery using Boolean network attractors: avoiding pathological phenotypes

About this item

Full title

Therapeutic target discovery using Boolean network attractors: avoiding pathological phenotypes

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2015-05

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Target identification, one of the steps of drug discovery, aims at identifying biomolecules whose function should be therapeutically altered in order to cure the considered pathology. This work proposes an algorithm for in silico target identification using Boolean network attractors. It assumes that attractors of dynamical systems, such as Boolean...

Alternative Titles

Full title

Therapeutic target discovery using Boolean network attractors: avoiding pathological phenotypes

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2082328792

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2082328792

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.1407.4374

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