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包裹在蛋白质核心中。

Packing in protein cores.

作者信息

Gaines J C, Clark A H, Regan L, O'Hern C S

机构信息

Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, United States of America. Integrated Graduate Program in Physical and Engineering Biology (IGPPEB), Yale University, New Haven, CT 06520, United States of America.

出版信息

J Phys Condens Matter. 2017 Jul 26;29(29):293001. doi: 10.1088/1361-648X/aa75c2. Epub 2017 May 30.

Abstract

Proteins are biological polymers that underlie all cellular functions. The first high-resolution protein structures were determined by x-ray crystallography in the 1960s. Since then, there has been continued interest in understanding and predicting protein structure and stability. It is well-established that a large contribution to protein stability originates from the sequestration from solvent of hydrophobic residues in the protein core. How are such hydrophobic residues arranged in the core; how can one best model the packing of these residues, and are residues loosely packed with multiple allowed side chain conformations or densely packed with a single allowed side chain conformation? Here we show that to properly model the packing of residues in protein cores it is essential that amino acids are represented by appropriately calibrated atom sizes, and that hydrogen atoms are explicitly included. We show that protein cores possess a packing fraction of [Formula: see text], which is significantly less than the typically quoted value of 0.74 obtained using the extended atom representation. We also compare the results for the packing of amino acids in protein cores to results obtained for jammed packings from discrete element simulations of spheres, elongated particles, and composite particles with bumpy surfaces. We show that amino acids in protein cores pack as densely as disordered jammed packings of particles with similar values for the aspect ratio and bumpiness as found for amino acids. Knowing the structural properties of protein cores is of both fundamental and practical importance. Practically, it enables the assessment of changes in the structure and stability of proteins arising from amino acid mutations (such as those identified as a result of the massive human genome sequencing efforts) and the design of new folded, stable proteins and protein-protein interactions with tunable specificity and affinity.

摘要

蛋白质是构成所有细胞功能基础的生物聚合物。20世纪60年代,首批高分辨率蛋白质结构通过X射线晶体学得以确定。从那时起,人们一直对理解和预测蛋白质结构与稳定性保持着浓厚兴趣。众所周知,蛋白质稳定性的很大一部分源自蛋白质核心中疏水残基与溶剂的隔离。这些疏水残基在核心中是如何排列的;如何才能最好地模拟这些残基的堆积情况,以及残基是松散堆积且具有多种允许的侧链构象,还是紧密堆积且只有一种允许的侧链构象?在这里,我们表明,要正确模拟蛋白质核心中残基的堆积情况,至关重要的是氨基酸要用经过适当校准的原子大小来表示,并且要明确包含氢原子。我们表明,蛋白质核心的堆积分数为[公式:见原文],这明显小于使用扩展原子表示法通常引用的0.74的值。我们还将蛋白质核心中氨基酸堆积的结果与通过对球体、细长颗粒以及具有凹凸表面的复合颗粒进行离散元素模拟得到的堵塞堆积结果进行了比较。我们表明,蛋白质核心中的氨基酸堆积密度与具有与氨基酸相似的纵横比和凹凸度值的颗粒的无序堵塞堆积一样高。了解蛋白质核心的结构特性具有基础和实际的重要性。实际上,它能够评估由于氨基酸突变(例如那些通过大规模人类基因组测序努力所确定的突变)而导致的蛋白质结构和稳定性的变化,以及设计具有可调特异性和亲和力的新的折叠稳定蛋白质和蛋白质 - 蛋白质相互作用。

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