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Identification of new discriminant factors based on distance between amino acids in the interaction zone between proteins

机译:基于蛋白质中相互作用区氨基酸距离的新判别因子的鉴定

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Proteins are macromolecules involved in the biological functions. Protein-protein interactions that occur between two or more proteins are called protein complexes. These complexes are of vital importance as they play a key role in most biological processes, such as biosynthesis, cellular regulation and signal translation. For this reason, the researchers try to understand these protein complexes in their three-dimensional structure, through data that are generated from methods such as X-ray crystallography or nuclear magnetic resonance. Because the tertiary structure is unique to each protein it is also directly responsible for its biological properties. These data are used for the prediction of protein-protein interactions. The prediction seeks by means of computational tools, to identify and to categorize the type of interaction that occurs in a given protein complex. This through the use of different features of the complex. In this study we try to determine if using only the distance between amino acids belonging to the interaction zone in protein complexes influences whether the interaction is classified as transient or permanent (duration time of interaction). For this we use a set of protein complexes already classified as transient or permanent, in addition to its three-dimensional structure. The distance measures used as a feature, are selected considering the energy produced in the interaction zone and the structure of the amino acids involved and their position. A 75% accuracy was obtained, using distance as a discriminant factor in the classification of protein complexes. This suggests that, there is a relation between the distance as a discriminating factor to classify these complexes as transient or permanent.
机译:蛋白质是涉及生物功能的大分子。在两种或更多种蛋白质之间发生的蛋白质 - 蛋白质相互作用称为蛋白质复合物。这些复合物具有至关重要的重要性,因为它们在大多数生物过程中发挥着关键作用,例如生物合成,细胞调节和信号翻译。因此,研究人员试图通过从诸如X射线晶体学或核磁共振等方法产生的数据来了解这些蛋白质复合物。因为三级结构对每种蛋白质具有独特的,因此它也直接负责其生物学性质。这些数据用于预测蛋白质 - 蛋白质相互作用。预测通过计算工具寻求识别和分类给定蛋白质复合物中发生的交互类型。这是通过使用复杂的不同特征。在该研究中,我们尝试确定仅使用属于蛋白质复合物中的相互作用区的氨基酸之间的距离影响互动是否被归类为瞬态或永久(相互作用的持续时间)。为此,除了其三维结构之外,我们还使用一组已经被分类为瞬态或永久性的蛋白质复合物。选择用作特征的距离措施,考虑在相互作用区中产生的能量和所涉及的氨基酸的结构及其位置。获得75%的精度,使用距离作为蛋白质复合物分类的判别因子。这表明,距离与区分因子之间的关系,以将这些复合物分类为瞬态或永久性。

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