Department of Cell and Molecular Biology, Uppsala University, Biomedical Center, Box 596, SE-751 24 Uppsala, Sweden.
Curr Opin Struct Biol. 2012 Dec;22(6):815-23. doi: 10.1016/j.sbi.2012.07.008. Epub 2012 Aug 8.
The wealth of structural and biochemical data now available for protein synthesis on the ribosome presents major new challenges for computational biochemistry. Apart from technical difficulties in modeling ribosome systems, the complexity of the overall translation cycle with a multitude of different kinetic steps presents a formidable problem for computational efforts where we have only seen the beginning. However, a range of methodologies including molecular dynamics simulations, free energy calculations, molecular docking and quantum chemical approaches have already been put to work with promising results. In particular, the combined efforts of structural biology, biochemistry, kinetics and computational modeling can lead towards a quantitative structure-based description of translation.
核糖体上蛋白质合成的结构和生化数据的丰富,给计算生物化学带来了重大的新挑战。除了在建模核糖体系统方面的技术困难外,整体翻译周期的复杂性和众多不同的动力学步骤,也给我们才刚刚开始的计算工作带来了巨大的问题。然而,已经有一系列的方法,包括分子动力学模拟、自由能计算、分子对接和量子化学方法,已经被应用,并取得了有希望的结果。特别是,结构生物学、生物化学、动力学和计算建模的联合努力,可以推动基于结构的翻译定量描述的发展。