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COMPUTATIONAL PROTEIN DESIGN IN GREEN CHEMISTRY

机译:绿色化学中的计算蛋白质设计

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The application of computational design of protein is mainly seen in the mutations of its active sites for increasing the reliability of that particular protein. Two essential examples from our groups are the stability improvement of riboflavin synthase and lipase enzyme. Specific mutations were introduced to their active and binding sites. Thus, by running molecular dynamics simulations, it is confirmed that the mutations improve the protein stability significantly. However, as the future of green chemistry is eventually aligned with nanotechnology, the atomic and even the subatomic features of the protein improvement will be put into the discussion. Nanotechnology is nowadays could not separate by the computational procedures. Besides molecular dynamics, finding the binding and active sites, as well as their chemical interactions, are important aspects of the nano-based computational design. In this respect, it could be related that the bioinformatics tools in Green Chemistry should be aligned with nanotechnology to produce finegrained protein design that environmentally friendly.
机译:蛋白质计算设计的应用主要体现在其活性位点的突变上,以增加该特定蛋白质的可靠性。我们小组的两个重要例子是核黄素合酶和脂肪酶的稳定性提高。将特定的突变引入其活性和结合位点。因此,通过进行分子动力学模拟,证实了突变显着改善了蛋白质稳定性。但是,随着绿色化学的未来最终与纳米技术保持一致,蛋白质改良的原子甚至亚原子特性将被纳入讨论范围。如今,纳米技术无法通过计算程序来分离。除了分子动力学以外,寻找结合和活性位点及其化学相互作用是基于纳米的计算设计的重要方面。在这方面,可能与绿色化学中的生物信息学工具应与纳米技术保持一致,以产生对环境友好的细粒度蛋白质设计。

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