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一种新的蛋白质折叠识别势函数。

A new protein folding recognition potential function.

作者信息

Wang Y, Lai L, Han Y, Xu X, Tang Y

机构信息

Department of Chemistry, Peking University, Beijing, P. R. China.

出版信息

Proteins. 1995 Feb;21(2):127-9. doi: 10.1002/prot.340210206.

Abstract

On the study of protein inverse folding problem, one goal is to find simple and efficient potential to evaluate the compatibility between structure and a given sequence. We present here a novo empirical mean force potential to address the importance of electrostatic interactions in protein inverse folding study. It is based on protein main chain polar fraction and constructed in a way similar with Sippl's from a database of 64 known independent three-dimensional protein structures. This potential was applied to recognize the protein native conformations among a conformation pool. Calculated results show that this potential is powerful in picking out native conformations, in addition it can also find structure similarity between proteins with low sequence similarity. The success of this new potential clearly shows the importance of electrostatic factors in protein inverse folding studies.

摘要

在蛋白质反向折叠问题的研究中,一个目标是找到简单有效的势函数来评估结构与给定序列之间的兼容性。我们在此提出一种全新的经验平均力势函数,以解决静电相互作用在蛋白质反向折叠研究中的重要性问题。它基于蛋白质主链极性分数,并以与西普尔(Sippl)方法类似的方式构建,所依据的是一个包含64个已知独立三维蛋白质结构的数据库。该势函数被用于在构象库中识别蛋白质的天然构象。计算结果表明,此势函数在挑选天然构象方面很强大,此外它还能发现序列相似性较低的蛋白质之间的结构相似性。这种新势函数的成功清楚地表明了静电因素在蛋白质反向折叠研究中的重要性。

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