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Inferring the effective TOR-dependent network: a computational study in yeast.

Authors
Type
Published Article
Journal
BMC Systems Biology
1752-0509
Publisher
Springer (Biomed Central Ltd.)
Publication Date
Volume
7
Pages
84–84
Identifiers
DOI: 10.1186/1752-0509-7-84
PMID: 24005029
Source
Medline
License
Unknown

Abstract

Our approach, unlike experimental methods, is not limited to specific aspects of cellular response. Rather, it predicts transcriptional changes and post-translational modifications in response to TOR inhibition. The constructed effective response network greatly enhances understanding of the mechanisms underlying the aging process and helps in identifying new targets for further investigation of anti-aging regimes. It also allows us to identify potential network biomarkers for diagnosis and prognosis of age-related pathologies.

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