Models of transcription factor binding: Sensitivity of activation functions to model assumptions

Dominique Chu, Boris Mitavskiy (2009) Models of transcription factor binding: Sensitivity of activation functions to model assumptions. Journal of Theoretical Biology, 257 (3). pp. 419-429. ISSN 0022-5193. (Full text available)

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http://dx.doi.org/10.1016/j.jtbi.2008.11.026

Abstract

We present three models of how transcription factors (TFs) bind to their specific binding sites on the DNA: a model based on statistical physics, a Markov-chain model and a computational simulation. Comparison of these models suggests that the effect of non-specific binding can be significant. We also investigate possible mechanisms for cooperativity. The simulation model suggests that direct interactions between TFs are unlikely to be the main source of cooperativity between specific binding sites, because such interactions tend to lead to the formation of clusters on the DNA with undesirable side-effects.

Item Type: Article
Uncontrolled keywords: Markov chain; Computational simulation; Partition function; Transcription factors; Cooperativity
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 29 Mar 2010 12:13
Last Modified: 06 Sep 2011 04:55
Resource URI: http://kar.kent.ac.uk/id/eprint/24077 (The current URI for this page, for reference purposes)
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