Loschmidt Laboratories, Department of Experimental Biology and Research Centre for Toxic Compounds in the Environment, Faculty of Science, Masaryk University, Kamenice 5/A13, 625 00 Brno, Czech Republic.
Loschmidt Laboratories, Department of Experimental Biology and Research Centre for Toxic Compounds in the Environment, Faculty of Science, Masaryk University, Kamenice 5/A13, 625 00 Brno, Czech Republic.
Curr Opin Chem Biol. 2014 Apr;19:8-16. doi: 10.1016/j.cbpa.2013.12.003. Epub 2013 Dec 31.
Protein engineering strategies aimed at constructing enzymes with novel or improved activities, specificities, and stabilities greatly benefit from in silico methods. Computational methods can be principally grouped into three main categories: bioinformatics; molecular modelling; and de novo design. Particularly de novo protein design is experiencing rapid development, resulting in more robust and reliable predictions. A recent trend in the field is to combine several computational approaches in an interactive manner and to complement them with structural analysis and directed evolution. A detailed investigation of designed catalysts provides valuable information on the structural basis of molecular recognition, biochemical catalysis, and natural protein evolution.
蛋白质工程策略旨在构建具有新颖或改进的活性、特异性和稳定性的酶,这极大地受益于计算方法。计算方法主要可以分为三类:生物信息学;分子建模;从头设计。特别是从头蛋白质设计正在快速发展,从而产生更稳健和可靠的预测。该领域的一个最新趋势是将几种计算方法以交互的方式结合起来,并以结构分析和定向进化来补充它们。对设计的催化剂的详细研究提供了关于分子识别、生化催化和天然蛋白质进化的结构基础的有价值的信息。