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首页> 外文期刊>BMC Bioinformatics >Proteus: An algorithm for proposing stabilizing mutation pairs based on interactions observed in known protein 3D structures
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Proteus: An algorithm for proposing stabilizing mutation pairs based on interactions observed in known protein 3D structures

机译:蛋白质:一种提出基于已知蛋白3D结构中观察到的相互作用的稳定突变对的算法

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摘要

Protein engineering has many applications for industry, such as the development of new drugs, vaccines, treatment therapies, food, and biofuel production. A common way to engineer a protein is to perform mutations in functionally essential residues to optimize their function. However, the discovery of beneficial mutations for proteins is a complex task, with a time-consuming and high cost for experimental validation. Hence, computational approaches have been used to propose new insights for experiments narrowing the search space and reducing the costs. In this study, we developed Proteus (an acronym for Protein Engineering Supporter), a new algorithm for proposing mutation pairs in a target 3D structure. These suggestions are based on contacts observed in other known structures from Protein Data Bank (PDB). Proteus’ basic assumption is that if a non-interacting pair of amino acid residues in the target structure is exchanged to an interacting pair, this could enhance protein stability. This trade is only allowed if the main-chain conformation of the residues involved in the contact is conserved. Furthermore, no steric impediment is expected between the proposed mutations and the surrounding protein atoms. To evaluate Proteus, we performed two case studies with proteins of industrial interests. In the first case study, we evaluated if the mutations suggested by Proteus for four protein structures enhance the number of inter-residue contacts. Our results suggest that most mutations proposed by Proteus increase the number of interactions into the protein. In the second case study, we used Proteus to suggest mutations for a lysozyme protein. Then, we compared Proteus’ outcomes to mutations with available experimental evidence reported in the ProTherm database. Four mutations, in which our results agree with the experimental data, were found. This could be initial evidence that changes in the side-chain of some residues do not cause disturbances that harm protein structure stability. We believe that Proteus could be used combined with other methods to give new insights into the rational development of engineered proteins. Proteus user-friendly web-based tool is available at http://proteus.dcc.ufmg.br .
机译:蛋白质工程有许多工业应用,如新药,疫苗,治疗疗法,食品和生物燃料生产的发展。工程师蛋白质的常见方法是在功能基本残留物中进行突变以优化其功能。然而,发现蛋白质有益突变是一种复杂的任务,具有耗时和高成本的实验验证。因此,已经使用计算方法来提出对缩小搜索空间并降低成本的实验的新见解。在这项研究中,我们开发了蛋白质(蛋白质工程支持者的首字母缩写),一种用于在目标3D结构中提出突变对的新算法。这些建议基于来自蛋白质数据库(PDB)的其他已知结构观察到的触点。蛋白质的基本假设是,如果将靶结构中的非相互作用对氨基酸残基交换为相互作用对,这可以增强蛋白质稳定性。仅允许该交易如果接触所涉及的残留物的主链构象是保守的。此外,在所提出的突变和周围的蛋白质原子之间没有预期空间障碍。为了评估蛋白质,我们进行了两种案例研究,患有工业利益的蛋白质。在第一种案例研究中,我们评估了蛋白质的突变进行四种蛋白质结构的突变,增强了残留物间接触的数量。我们的研究结果表明,蛋白质提出的大多数突变增加了蛋白质的相互作用。在第二种案例研究中,我们使用蛋白质来推荐溶菌酶蛋白的突变。然后,我们将Proteus的结果与Protherm数据库中报告的可用实验证据进行比较到突变。发现了四种突变,其中我们的结果达成了实验数据。这可能是初步证据,即一些残留物的侧链的变化不会造成损伤蛋白质结构稳定性的干扰。我们认为,蛋白质可以与其他方法一起使用,以便为工程蛋白质的合理发育提供新的见解。 Proteus用户友好的基于Web的工具可在中找到。

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