The content of this dissertation is divided into two parts: eukaryotic promoter prediction and quantitative structure-activity relationship (QSAR) for biological macromolecules.
本文分为两部分：真核启动子预测和生物大分子定量构效关系(QSAR)研究。
参考来源 - 真核启动子预测·2,447,543篇论文数据，部分数据来源于NoteExpress
目的：预测人类BMP - 2基因启动子位置和可能的转录因子结合位点。
Objective: to predict the promotor position and transcription factor binding sites of human BMP-2 gene.
这一模拟系统可以预测荧光蛋白表达是如何因启动子化学抑制剂水平不同而发生变化的。
The simulation was able to predict how fluorescent protein expression varied with levels of promoter-inhibiting chemicals.
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