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蛋白质产生率的mRNA序列决定因素

mRNA sequence determinants of protein production rate
课程网址: http://videolectures.net/biophysics2018_nossan_production_rate/  
主讲教师: Juraj Szavits Nossan
开课单位: 爱丁堡大学
开课时间: 2018-07-09
课程语种: 英语
中文简介:
蛋白质合成对每个活细胞都至关重要。分子生物学的主要挑战是理解编码在mRNA转录本中的信息如何影响mRNA翻译的速率,从而影响蛋白质的总产量(1)。旨在应对这一挑战的mRNA翻译计算模型的历史可以追溯到20世纪60年代(2,3)。到目前为止,这些模型在预测翻译效率的决定因素方面的能力非常有限,因为核糖体动力学在平衡之外运行,因此超出了平衡统计物理学的范畴。我在这里提出了一种新的数学方法来解决标准的生物物理模型的翻译。与酿酒酵母转录本序列的全基因组数值模拟相比,该解显示出极好的一致性,并预测前10个密码子以及起始速率值是蛋白质产生速率的主要决定因素。我还讨论了测试这些预测的潜在实验。
课程简介: Protein synthesis is of paramount importance to every living cell. The major challenge in molecular biology is to understand how information that is encoded in an mRNA transcript affects the rate of mRNA translation and therefore the overall protein production (1). Computational models of mRNA translation that aim to address this challenge have a long history dating as back to 1960s (2,3). So far these models had very limited power in predicting determinants of translation efficiency, owning to the fact that ribosome dynamics operates out of equilibrium and is therefore beyond the realm of equilibrium statistical physics. I present here a novel mathematical method for solving a standard biophysical model of translation. The solution shows an excellent agreement when compared to numerical genome-wide simulations of S. cerevisiae transcript sequences and predicts that the first 10 codons, together with the value of the initiation rate, are the main determinants of protein production rate. I also discuss potential experiments for testing these predictions.  
关 键 词: 蛋白质合成; 分子生物学; 蛋白质产生速率
课程来源: 视频讲座网
数据采集: 2021-11-12:zkj
最后编审: 2021-11-12:zkj
阅读次数: 45