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蛋白质结构预测方法的关键评估(CASP)——第九轮。

Critical assessment of methods of protein structure prediction (CASP)--round IX.

机构信息

Institute for Bioscience and Biotechnology Research, and Department of Cell Biology and Molecular Genetics, University of Maryland, Rockville, MD 20850, USA.

出版信息

Proteins. 2011;79 Suppl 10(0 10):1-5. doi: 10.1002/prot.23200. Epub 2011 Oct 14.

Abstract

This article is an introduction to the special issue of the journal PROTEINS, dedicated to the ninth Critical Assessment of Structure Prediction (CASP) experiment to assess the state of the art in protein structure modeling. The article describes the conduct of the experiment, the categories of prediction included, and outlines the evaluation and assessment procedures. Methods for modeling protein structure continue to advance, although at a more modest pace than in the early CASP experiments. CASP developments of note are indications of improvement in model accuracy for some classes of target, an improved ability to choose the most accurate of a set of generated models, and evidence of improvement in accuracy for short "new fold" models. In addition, a new analysis of regions of models not derivable from the most obvious template structure has revealed better performance than expected.

摘要

这是一篇介绍 PROTEINS 期刊特刊的文章,该特刊专门介绍了第九届蛋白质结构预测关键评估(CASP)实验,旨在评估蛋白质结构建模的最新技术水平。本文描述了实验的进行情况、包含的预测类别,并概述了评估和评估程序。尽管蛋白质结构建模方法的进展速度比早期的 CASP 实验要慢,但仍在不断推进。值得注意的是,CASP 的发展表明,某些类别的目标的模型准确性有所提高,能够更准确地选择一组生成模型中的最佳模型,并且对短的“新结构”模型的准确性也有所提高。此外,对无法从最明显的模板结构中推导出的模型区域的新分析表明,其性能优于预期。

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