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T4噬菌体溶菌酶预测二级结构与观察到的二级结构的比较。

Comparison of the predicted and observed secondary structure of T4 phage lysozyme.

作者信息

Matthews B W

出版信息

Biochim Biophys Acta. 1975 Oct 20;405(2):442-51. doi: 10.1016/0005-2795(75)90109-9.

Abstract

Predictions of the secondary structure of T4 phage lysozyme, made by a number of investigators on the basis of the amino acid sequence, are compared with the structure of the protein determined experimentally by X-ray crystallography. Within the amino terminal half of the molecule the locations of helices predicted by a number of methods agree moderately well with the observed structure, however within the carboxyl half of the molecule the overall agreement is poor. For eleven different helix predictions, the coefficients giving the correlation between prediction and observation range from 0.14 to 0.42. The accuracy of the predictions for both beta-sheet regions and for turns are generally lower than for the helices, and in a number of instances the agreement between prediction and observation is no better than would be expected for a random selection of residues. The structural predictions for T4 phage lysozyme are much less successful than was the case for adenylate kinase (Schulz et al. (1974) Nature 250, 140-142). No one method of prediction is clearly superior to all others, and although empirical predictions based on larger numbers of known protein structure tend to be more accurate than those based on a limited sample, the improvement in accuracy is not dramatic, suggesting that the accuracy of current empirical predictive methods will not be substantially increased simply by the inclusion of more data from additional protein structure determinations.

摘要

多位研究人员基于氨基酸序列对T4噬菌体溶菌酶二级结构所做的预测,与通过X射线晶体学实验测定的蛋白质结构进行了比较。在分子的氨基端一半范围内,多种方法预测的螺旋位置与观察到的结构适度吻合,然而在分子的羧基端一半范围内,总体吻合度较差。对于11种不同的螺旋预测,给出预测与观察之间相关性的系数范围为0.14至0.42。对β折叠区域和转角的预测准确性通常低于对螺旋的预测,而且在许多情况下,预测与观察之间的吻合度并不比随机选择残基时预期的更好。T4噬菌体溶菌酶的结构预测比腺苷酸激酶的情况(舒尔茨等人(1974年)《自然》250, 140 - 142)要成功得多。没有一种预测方法明显优于其他所有方法,并且尽管基于大量已知蛋白质结构的经验性预测往往比基于有限样本的预测更准确,但准确性的提高并不显著,这表明仅仅通过纳入更多来自其他蛋白质结构测定的数据,当前经验性预测方法的准确性不会大幅提高。

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