PROGRESS IN FOLD RECOGNITION

被引：79

作者：

FLOCKNER, H ^{[1
]}

BRAXENTHALER, M ^{[1
]}

LACKNER, P ^{[1
]}

JARITZ, M ^{[1
]}

ORTNER, M ^{[1
]}

SIPPL, MJ ^{[1
]}

机构：

[1] SALZBURG UNIV,INST CHEM & BIOCHEM,CTR APPL MOLEC ENGN,A-5020 SALZBURG,AUSTRIA

来源：

PROTEINS-STRUCTURE FUNCTION AND GENETICS | 1995年 / 23卷 / 03期

关键词：

KNOWLEDGE BASED POTENTIALS; MOLECULAR MODELING; PREDICTION OF PROTEIN STRUCTURE; PROTEIN FUNCTION; GENOME PROJECTS;

D O I：

10.1002/prot.340230311

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 prediction experiment reveals that fold recognition has become a powerful tool in structural biology. We applied our fold recognition technique to 13 target sequences. In two cases, replication terminating protein and prosequence of subtilisin, the predicted structures are very similar to the experimentally determined folds. For the first time, in a public blind test, the unknown structures of proteins have been predicted ahead of experiment to an accuracy approaching molecular detail. In two other cases the approximate folds have been predicted correctly. According to the assessors there were 12 recognizable folds among the target proteins. In our postprediction analysis we find that in 7 cases our fold recognition technique is successful. In several of the remaining cases the predicted folds have interesting features in common with the experimental results. We present our procedure, discuss the results, and comment on several fundamental and technical problems encountered in fold recognition. (C) 1995 Wiley-Liss, Inc.

引用

页码：376 / 386

页数：11

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