寻找DNA呼吸动力学的最佳活化能：模拟退火方法
Finding the optimum activation energy in DNA breathing dynamics: A Simulated Annealing approach
摘要：
我们演示了如何随机全局优化方案的模拟退火可以用来评估最佳参数的问题中的DNA呼吸动力学。呼吸动力学是按照随机Gillespie计划与双链DNA中的变性区作为一个单分子时间序列研究。模拟退火法用于寻找使平衡气泡尺寸分布与给定值相匹配的激活能的最佳值。结果表明，该方法克服了输入替代数据中的大噪声。
英文摘要：
We demonstrate how the stochastic global optimization scheme of Simulated Annealing can be used to evaluate optimum parameters in the problem of DNA breathing dynamics. The breathing dynamics is followed in accordance with the stochastic Gillespie scheme with the denaturation zones in double stranded DNA studied as a single molecule time series. Simulated Annealing is used to find the optimum value of the activation energy for which the equilibrium bubble size distribution matches with a given value. It is demonstrated that the method overcomes even large noise in the input surrogate data.
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