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Multi-scale enzyme modelling for SynBio: optimizing biocatalysts for selective synthesis of bioactive compounds

SynBio 多尺度酶建模：优化生物催化剂以选择性合成生物活性化合物

基本信息

批准号：
BB/M026280/1
负责人：
Marc Van Der Kamp
金额：
$ 90.39万
依托单位：
University of Bristol
依托单位国家：
英国
项目类别：
Fellowship
财政年份：
2015
资助国家：
英国
起止时间：
2015 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=BB%2FM026280%2F1
关键词：
Multi scale enzyme modelling SynBio

项目摘要

It is becoming increasingly popular to use the powerful principles present in nature to our advantage. A key example is the extraordinary ability of organisms to make molecules with high specificity (pure, potentially complex molecules are obtained) and efficiency (little energy is used). Nature uses enzymes, proteins that act as catalysts to promote chemical reactions, to achieve this. These enzymes typically work under mild conditions. Enzymes are already used in industry to help make molecules that we require in cost-efficient, comparatively green and sustainable processes. Nature has not, however, provided us with an enzyme to suit the production of every desired molecule; typically, enzymes only catalyze specific chemical reactions with specific starting materials. But the process of evolution teaches us that enzymes are malleable for engineering different properties. For example, making small changes (mutations) in specific amino acids (the building blocks of proteins) of enzymes can allow these enzymes to accept different substrates and thereby catalyze the formation of new, desired molecules. Even though it is possible to determine the positions of atoms in an enzyme with great detail (e.g. using X-ray crystallography), the full effects of making changes to amino acids are not evident. This limits researchers in assessing what the (beneficial or non-beneficial) effects of such mutations are. For example, changing a single amino acid can affect how efficient an enzyme works, by changing how well the starting material binds, how efficient the starting material is converted, and how stable the enzyme is. I have been at the forefront of developing and employing methods that combine quantum mechanics and standard (Newtonian) mechanics to simulate chemical reactions in enzymes. With these methods, computer simulations can be used to assess the different possible effects of amino acid changes. The proposed research will develop efficient protocols to do this, and enhance the methods so that they can be applied to more complex enzyme systems and reactions. The enzyme systems under investigation are examples of enzymes that can make many different and potentially valuable molecules. Anti-influenza drugs, anti-cancer compounds, antibiotics as well as popular natural flavour compounds are examples of molecules that could be produced with the help of these enzymes. By gaining knowledge on how these enzymes work and developing protocols to modify them, we can obtain ways to produce new beneficial compounds (such as drugs) in a cost-efficient and sustainable way.

利用自然界中存在的强大原理为我们所用正变得越来越流行。一个关键的例子是生物体具有非凡的能力，可以制造高特异性（获得纯的，可能复杂的分子）和高效率（使用很少的能量）的分子。大自然使用酶，蛋白质作为催化剂来促进化学反应，以实现这一目标。这些酶通常在温和的条件下工作。酶已经在工业中用于帮助制造我们在成本效益、相对绿色和可持续的过程中所需的分子。然而，大自然并没有为我们提供一种适合生产每一种所需分子的酶;通常，酶只催化特定起始材料的特定化学反应。但进化的过程告诉我们，酶是可塑的，可以设计不同的特性。例如，在酶的特定氨基酸（蛋白质的结构单元）中进行微小的改变（突变）可以使这些酶接受不同的底物，从而催化新的所需分子的形成。尽管可以非常详细地确定酶中原子的位置（例如使用X射线晶体学），但对氨基酸进行改变的全部影响并不明显。这限制了研究人员评估这些突变的（有益或无益）影响。例如，改变单个氨基酸可以通过改变起始材料结合的程度、起始材料转化的效率以及酶的稳定性来影响酶的工作效率。我一直在开发和采用结合联合收割机量子力学和标准（牛顿）力学来模拟酶中的化学反应的方法的最前沿。通过这些方法，计算机模拟可以用来评估氨基酸变化的不同可能影响。拟议的研究将开发有效的协议来做到这一点，并加强方法，使它们可以应用于更复杂的酶系统和反应。正在研究的酶系统是酶的例子，可以制造许多不同的和潜在的有价值的分子。抗流感药物，抗癌化合物，抗生素以及流行的天然风味化合物都是可以在这些酶的帮助下产生的分子的例子。通过了解这些酶的工作原理并开发修改它们的方案，我们可以获得以具有成本效益和可持续的方式生产新的有益化合物（如药物）的方法。