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影响能量函数区分正确折叠与错误折叠能力的因素。

Factors affecting the ability of energy functions to discriminate correct from incorrect folds.

作者信息

Park B H, Huang E S, Levitt M

机构信息

Beckman Laboratories for Structural Biology, Department of Structural Biology, Stanford University of Medicine, CA 94305-5400, USA.

出版信息

J Mol Biol. 1997 Mar 7;266(4):831-46. doi: 10.1006/jmbi.1996.0809.

Abstract

Eighteen low and medium resolution empirical energy functions were tested for their ability to distinguish correct from incorrect folds from three test sets of decoy protein conformations. The energy functions included 13 pairwise potentials of mean force, covering a wide range of functional forms and methods of parameterization, four potentials that attempt to detect properly formed hydrophobic cores, and one environment-based potential. the first of the three test sets consists of large ensembles of plausible conformations for eight small proteins, all of which have correct native secondary structure and are reasonably compact. The second is the set of all subconformations in a database of known protein structures applied to the sequences in that database (ungapped threading). The third is a set of ensembles of 1000 conformations each for seven small proteins taken from molecular dynamics simulations at 298 K and 498 K. Our results show that there are functions effective for each challenge set; moreover, success in one test is no guarantee of success in another. We examine the factors that seem to be important for accurate discrimination of correct structures in each of the test sets, and note that extremely simple functions are often as effective as more complex functions.

摘要

针对18种低分辨率和中分辨率的经验能量函数,测试了它们从三组诱饵蛋白质构象中区分正确折叠与错误折叠的能力。这些能量函数包括13种平均力成对势,涵盖了广泛的函数形式和参数化方法,4种试图检测正确形成的疏水核心的势,以及1种基于环境的势。三个测试集的第一个由八个小蛋白质的大量合理构象集合组成,所有这些蛋白质都具有正确的天然二级结构且相当紧凑。第二个是应用于已知蛋白质结构数据库中序列的所有子构象集(无间隙穿线)。第三个是从298K和498K的分子动力学模拟中获取的七组小蛋白质,每组包含1000个构象。我们的结果表明,对于每个挑战集都有有效的函数;此外,在一个测试中成功并不能保证在另一个测试中也成功。我们研究了在每个测试集中对准确区分正确结构似乎很重要的因素,并注意到极其简单的函数通常与更复杂的函数一样有效。

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