PROTEIN SECONDARY STRUCTURE PREDICTION

被引：64

作者：

BARTON, GJ

机构：

[1] Laboratory of Molecular Biophysics, Oxford, OX1 3QU, Rex Richards Building, South Parks Rd.

来源：

CURRENT OPINION IN STRUCTURAL BIOLOGY | 1995年 / 5卷 / 03期

关键词：

D O I：

10.1016/0959-440X(95)80099-9

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：

The past year has seen a consolidation of protein secondary structure prediction methods. The advantages of prediction from an aligned family of proteins have been highlighted by several accurate predictions made 'blind', before any X-ray or NMR structure was known for the family. New techniques that apply machine learning and discriminant analysis show promise as alternatives to neural networks.

引用

收藏

页码：372 / 376

页数：5

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