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

被引:62
作者
Chu, Dominique [1 ]
Zabet, Nicolae Radu [1 ]
Mitavskiy, Boris [2 ]
机构
[1] Univ Kent, Comp Lab, Canterbury CT2 7NF, Kent, England
[2] ASTAR, Bioinformat Inst, Singapore 138671, Singapore
关键词
Markov chain; Computational simulation; Partition function; Transcription factors; Cooperativity; GENETIC REGULATORY NETWORKS; ESCHERICHIA-COLI; DNA; REPRESSOR; PROTEINS; DYNAMICS; NUMBERS; GROWTH; CELL;
D O I
10.1016/j.jtbi.2008.11.026
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:419 / 429
页数:11
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