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使用拉氏构象图预测氨基酸的构象状态。

Prediction of conformational states of amino acids using a Ramachandran plot.

作者信息

Kolaskar A S, Sawant S

机构信息

Bioinformatics Distributed Information Center, University of Pune, India.

出版信息

Int J Pept Protein Res. 1996 Jan-Feb;47(1-2):110-6. doi: 10.1111/j.1399-3011.1996.tb00817.x.

Abstract

(phi, psi) data from crystal structures of 221 proteins having high resolution and sequence similarity cut-off at the 25% level were analysed by dividing the Ramachandran plot in three regions representing three conformational states: (i) conformational state 1: conformations in the (phi, psi) range from (-140 degrees, -100 degrees) to (0 degrees, 0 degrees); (ii) conformational state 2: conformations with (phi, psi) from (-180 degrees, 80 degrees) to (0 degrees, 180 degrees); and (iii) conformational state 3: all the remaining conformations in the (phi, psi) plane which are not included in the above two conformational states. Normalized probability values of the occurrence of single amino acid residues in conformational regions 1-3 and similar values for dipeptides were calculated. Comparisons of single residue and dipeptide normalized probability values have shown that short-range interactions, although strong, destabilize conformational states of only 44 dipeptides out of the 400 x 9 possible states. However, dipeptide frequency values provide better resolving power than single-residue potentials when used to predict conformational states of residues in a protein from its primary structure. The simple approach used in the present study to predict conformational states yields an accuracy of > 70% for 14 proteins and an accuracy in the range of 50-70% for 247 proteins. Thus these studies point out yet another use of the Ramachandran plot and the role of tertiary interactions in protein folding.

摘要

对221种具有高分辨率且序列相似性截止在25%水平的蛋白质晶体结构的(φ, ψ)数据进行了分析,方法是将拉氏图划分为代表三种构象状态的三个区域:(i) 构象状态1:(φ, ψ)范围从(-140度, -100度)到(0度, 0度)的构象;(ii) 构象状态2:(φ, ψ)从(-180度, 80度)到(0度, 180度)的构象;以及(iii) 构象状态3:(φ, ψ)平面中不包含在上述两种构象状态中的所有其余构象。计算了单个氨基酸残基在构象区域1 - 3中出现的归一化概率值以及二肽的类似值。单个残基和二肽归一化概率值的比较表明,短程相互作用虽然很强,但在400×9种可能状态中,仅使44种二肽的构象状态不稳定。然而,当用于从蛋白质的一级结构预测其残基的构象状态时,二肽频率值比单个残基势具有更好的分辨能力。本研究中用于预测构象状态的简单方法对14种蛋白质的预测准确率>70%,对247种蛋白质的预测准确率在50 - 70%范围内。因此,这些研究指出了拉氏图的另一种用途以及三级相互作用在蛋白质折叠中的作用。

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