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原文連結
論文資訊
- 類型：已發表論文
- 日期：2001
摘要
Transcriptional regulation is an inherently noisy process. The origins of this 隨機 behavior can be traced to the random transitions among the discrete chemical states of operators that control the transcription rate and to finite number fluctuations in the biochemical reactions for the synthesis and degradation of transcripts. We develop 隨機 models to which these random reactions are intrinsic and a series of simpler models derived explicitly from the first as approximations in different parameter regimes. This innate 隨機ity can have both a quantitative and qualitative impact on the behavior of gene-regulatory 網絡s. We introduce a natural generalization of deterministic 分岔s for classification of 隨機 systems and show that simple noisy 遺傳 switches have rich 分岔 structures; among them, 分岔s driven s
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