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Discretization orders for protein side chains

机译:蛋白质侧链的离散化顺序

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Proteins are important molecules that are widely studied in biology. Since their three-dimensional conformations can give clues about their function, an optimal methodology for the identification of such conformations has been researched for many years. Experiments of Nuclear Magnetic Resonance (NMR) are able to estimate distances between some pairs of atoms forming the protein, and the problem of identifying the possible conformations satisfying the available distance constraints is known in the scientific literature as the Molecular Distance Geometry Problem (MDGP). When some particular assumptions are satisfied, MDGP instances can be discretized, and solved by employing an ad-hoc algorithm, named the interval Branch & Prune. When dealing with molecules such as proteins, whose chemical structure is known, a priori information can be exploited for generating atomic orderings that allow for the discretization. In previous publications, we presented a handcrafted order for the protein backbones. In this work, we propose 20 new orders for the 20 side chains that can be present in proteins. Computational experiments on artificial and real instances from NMR show the usefulness of the proposed orders.
机译:蛋白质是生物学上广泛研究的重要分子。由于它们的三维构象可以提供有关其功能的线索,因此多年来研究了鉴定此类构象的最佳方法。核磁共振(NMR)实验能够估算形成蛋白质的几对原子之间的距离,而确定满足可用距离限制的可能构象的问题在科学文献中称为分子距离几何问题(MDGP) 。当满足某些特定假设时,可以离散化MDGP实例,并通过使用名为区间Branch&Prune的自组织算法进行求解。当处理化学结构已知的分子(例如蛋白质)时,可以利用先验信息来生成允许离散化的原子顺序。在以前的出版物中,我们提出了手工制作的蛋白质骨架订单。在这项工作中,我们提出了蛋白质中可能存在的20条侧链的20条新订单。通过NMR进行的人工和实际实例的计算实验表明了拟议订单的有用性。

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