首页> 外文会议>Enzyme engineering XXIV >DESIGN OF NOVEL ENZYMED-CATALYZED REACTIONS LINKED TO PROTEIN SEQUENCES FOR FINDING ENZYME ENGINEERING TARGETS
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DESIGN OF NOVEL ENZYMED-CATALYZED REACTIONS LINKED TO PROTEIN SEQUENCES FOR FINDING ENZYME ENGINEERING TARGETS

机译:与蛋白质序列相关的新型酶催化反应的设计,用于寻找酶工程目标

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摘要

A key challenge in metabolic engineering is to find and to improve biosynthetic pathways that lead to the cellular production of a given industrial, pharmaceutical or specialty chemical compound. In many cases, the enzymatic reactions required for bio-production have not been observed in nature and need to be designed from scratch. Computational approaches are essential to predict possible novel biotransformation and to find enzymes that can potentially catalyze the proposed reactions. In this work, we present two computational tools, BNICE.ch and BridgIT, and we demonstrate their concerted action to (ⅰ) predict hypothetical biotransformations and (ⅱ) to link these novel reactions with well characterized enzymatic reactions and their associated genes. BNICE.ch reconstructs known reactions and generates novel reactions by applying its integrated, expert curated, generalized enzyme reaction rules on known metabolites. In order to find enzymes that potentially catalyze the biotransformation of these novel reactions, we assume that molecules with a similar reactive site and a similar atomic structure around the reactive site may be recognized and transformed by the same enzyme. Hence, BridgIT compares every predicted novel reaction to all known enzymatic reactions for which a protein sequence is available. Novel and known reactions are compared based on the reactive site of the substrates, the atoms surrounding the reactive site, and the breakage and formation of atomic bonds during the conversion of the substrate to the product. As a result, BridgIT reports a similarity score for each comparison of known reactions to novel reactions, thus giving an estimate of how possible it is that a given enzyme can catalyze a novel reaction. The results are organized in a database of known and hypothetical reactions called the "ATLAS of Biochemistry", where every hypothetical reaction is associated with its structurally most similar known enzymatic reactions, thus suggesting a plausible Gene-Protein-Reaction (GPR) association that can be used as a starting point for enzyme engineering. Our database currently spans more than 130'000 biochemically possible reactions between known metabolites from the Kyoto Encyclopedia of Genes and Genomes (KEGG). The ATLAS database and the BridgIT online tool are available on the web and they can be used to extract potential reactions and pathways and to identify enzyme targets for metabolic and enzymatic engineering purposes.
机译:代谢工程学中的关键挑战是寻找并改善生物合成途径,从而导致细胞产生给定的工业,制药或特种化学化合物。在许多情况下,自然界中尚未观察到生物生产所需的酶促反应,因此需要从头开始设计。计算方法对于预测可能的新型生物转化以及发现可能潜在催化拟议反应的酶至关重要。在这项工作中,我们介绍了两个计算工具BNICE.ch和BridgIT,并且我们展示了它们的协同作用,以(ⅰ)预测假设的生物转化,并且(ⅱ)将这些新颖的反应与特征明确的酶促反应及其相关基因联系起来。 BNICE.ch通过将其整合的,专家策划的,广义的酶反应规则应用于已知的代谢物,重构已知的反应并产生新的反应。为了找到可能催化这些新反应生物转化的酶,我们假设具有相同反应位点和围绕该反应位点的原子结构相似的分子可以被相同的酶识别和转化。因此,BridgIT将每个预测的新反应与所有已知的可利用其蛋白质序列的酶促反应进行比较。根据底物的反应位点,反应位点周围的原子,以及在底物转化为产物的过程中原子键的断裂和形成,对新型反应和已知反应进行了比较。结果,BridgIT报告了已知反应与新反应的每次比较的相似性得分,从而估算了给定酶催化新反应的可能性。结果被组织在称为“ ATLAS of Biochemistry”的已知和假设反应的数据库中,其中每个假设反应均与其结构上最相似的已知酶促反应相关,因此暗示了可能的基因-蛋白质-反应(GPR)关联可以用作酶工程的起点。我们的数据库目前涵盖了《京都基因与基因组百科全书》(KEGG)中已知代谢物之间超过130'000种生物化学可能的反应。 ATLAS数据库和BridgIT在线工具可在网上找到,它们可用于提取潜在的反应和途径,并识别用于代谢和酶工程目的的酶靶标。

著录项

  • 来源
    《Enzyme engineering XXIV》|2017年|129-129|共1页
  • 会议地点 Toulouse(FR)
  • 作者单位

    Laboratory of Computational Systems Biotechnology (LCSB), Swiss Federal Institute of Technology (EPFL), CH-1015 Lausanne, Switzerland;

    Laboratory of Computational Systems Biotechnology (LCSB), Swiss Federal Institute of Technology (EPFL), CH-1015 Lausanne, Switzerland;

    Laboratory of Computational Systems Biotechnology (LCSB), Swiss Federal Institute of Technology (EPFL), CH-1015 Lausanne, Switzerland;

    Laboratory of Computational Systems Biotechnology (LCSB), Swiss Federal Institute of Technology (EPFL), CH-1015 Lausanne, Switzerland;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Novel biotransformation; enzyme prediction; metabolic engineering;

    机译:新型生物转化;酶预测代谢工程;
  • 入库时间 2022-08-26 14:31:35

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