PROGRESS OF 1D PROTEIN-STRUCTURE PREDICTION AT LAST

被引：72
作者：
ROST, B
SANDER, C
机构：
[1] EMBL, Heidelberg
来源：
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS | 1995年 / 23卷 / 03期
关键词：
AUTOMATIC PREDICTION OF PROTEIN SECONDARY STRUCTURE AND SOLVENT ACCESSIBILITY; NEURAL NETWORKS;
D O I：
10.1002/prot.340230304
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
Accuracy of predicting protein secondary structure and solvent accessibility from sequence information has been improved significantly by using information contained in multiple sequence alignments as input to a neural network system. For the Asilomar meeting, predictions for 13 proteins were generated automatically using the publicly available prediction method PHD. The results confirm the estimate of 72% three-state prediction accuracy. The fairly accurate predictions of secondary structure segments made the tool useful as a starting point for modeling of higher dimensional aspects of protein structure. (C) 1995 Wiley-Liss, Inc.
引用
收藏
页码：295 / 300
页数：6
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