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预测蛋白质三维结构。

Predicting protein three-dimensional structure.

作者信息

Moult J

机构信息

Center for Advanced Research in Biotechnology, University of Maryland Biotechnology Institute, Rockville, MD 20850, USA.

出版信息

Curr Opin Biotechnol. 1999 Dec;10(6):583-8. doi: 10.1016/s0958-1669(99)00037-3.

DOI:10.1016/s0958-1669(99)00037-3
PMID:10600698
Abstract

The current state of the art in modeling protein structure has been assessed, based on the results of the CASP (Critical Assessment of protein Structure Prediction) experiments. In comparative modeling, improvements have been made in sequence alignment, sidechain orientation and loop building. Refinement of the models remains a serious challenge. Improved sequence profile methods have had a large impact in fold recognition. Although there has been some progress in alignment quality, this factor still limits model usefulness. In ab initio structure prediction, there has been notable progress in building approximately correct structures of 40-60 residue-long protein fragments. There is still a long way to go before the general ab initio prediction problem is solved. Overall, the field is maturing into a practical technology, able to deliver useful models for a large number of sequences.

摘要

基于蛋白质结构预测关键评估(CASP)实验的结果,对蛋白质结构建模的当前技术水平进行了评估。在比较建模中,序列比对、侧链取向和环区构建方面都有了改进。模型的优化仍然是一个严峻的挑战。改进后的序列谱方法对折叠识别产生了重大影响。尽管在比对质量方面取得了一些进展,但这一因素仍然限制了模型的实用性。在从头开始的结构预测中,在构建长度为40 - 60个残基的蛋白质片段的大致正确结构方面取得了显著进展。在解决一般的从头开始预测问题之前,仍有很长的路要走。总体而言,该领域正在发展成为一种实用技术,能够为大量序列提供有用的模型。

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