CENTER FOR CRITICAL ASSESSMENT OF STRUCTURE PREDICTION

描述（改编自摘要）： 随着测序项目的成功， 基因组编码的蛋白质变得越来越重要。 广泛 蛋白质结构的知识将大大有助于研究 蛋白质功能、蛋白质相互作用和生化途径。 它将 也对我们理解生物学、人类疾病和 最终用于药物设计。 结构的实验测定是 既费时又费钱，目前有两种方法， 测序和结构测定之间的数量级差距 努力 构造建模与预测的计算技术 缩小这一差距的巨大希望。 蛋白质的关键评估 建立结构预测（CASP）过程是为了回答两个问题： 首先，这些技术的预测质量可以达到什么水平？ 第二，哪些方法提供了持续发展的最佳前景？ CASP是一个社区范围的计划，全球有98个研究小组提交了 上一轮有超过3,800个预测 我们组是主要的 CASP的基础设施资源，并处理预测的处理， 开发和实施评估软件，进行预测评估， 开发分析和显示工具，并方便访问预测， 的评价数据。 该项目的主要目标是为CASP提供基础设施 预测实验 我们建议支持 CASP并扩大其基础设施，包括提高 评估预测，进一步发展和完善评价 标准和软件，以及改进的预测分析方法。 我们还将 建立一个连续网络机制，评估预测结果 方法，基于结构基因组学的预测目标。 通过此机制 在适当的地方，我们将能够评估预测方法的目标， 与基因组序列数据的解释相关，并记录 结构预测的进展基本上与 结构基因组学

DESCRIPTION (adapted from the Abstract): With success of the sequencing projects, the structural characterization of the genome-encoded proteins becomes increasingly important. Extensive knowledge of protein structure will significantly aid the investigation of protein function, protein interactions, and biochemical pathways. It will also have a major impact on our understanding of biology, human disease, and eventually on drug design. Experimental determination of structure is inherently time-consuming and costly, and currently there is a two orders-of- magnitude gap in numbers between sequencing and structure determination efforts. Computational techniques of structure modeling and prediction hold great promise for narrowing this gap. The Critical Assessment of Protein Structure Prediction (CASP) process was established to answer two questions: First, what level of prediction quality can be expected of these techniques? And second, which methods offer the best prospects for continued development? CASP is a community-wide program, with 98 research groups worldwide submitting over 3,800 predictions in the last round. Our group is the primary infrastructure resource for CASP, and handles processing of predictions, develops and implements evaluation software, performs prediction assessment, develops analysis and display tools, and facilitates access to predictions and their evaluation data. The primary goal of this project is to provide the infrastructure for the CASP prediction experiments. We propose to support the continuing operation of CASP and to expand its infrastructure, including an increased capacity for assessing predictions, further development and refinement of the evaluation criteria and software, and improved prediction analysis methods. We will also implement a continuous web-based mechanism for evaluation of prediction methods, based on structural genomics prediction targets. With this mechanism in place, we will be able to evaluate prediction methods on targets that are relevant to the interpretation of the genome sequence data, and record progress in structure prediction essentially in parallel with progress in structural genomics.