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蛋白质折叠比较服务器的评估。

Evaluation of protein fold comparison servers.

作者信息

Novotny Marian, Madsen Dennis, Kleywegt Gerard J

机构信息

Department of Cell and Molecular Biology, Uppsala University, Biomedical Centre, Uppsala, Sweden.

出版信息

Proteins. 2004 Feb 1;54(2):260-70. doi: 10.1002/prot.10553.

Abstract

When a new protein structure has been determined, comparison with the database of known structures enables classification of its fold as new or belonging to a known class of proteins. This in turn may provide clues about the function of the protein. A large number of fold comparison programs have been developed, but they have never been subjected to a comprehensive and critical comparative analysis. Here we describe an evaluation of 11 publicly available, Web-based servers for automatic fold comparison. Both their functionality (e.g., user interface, presentation, and annotation of results) and their performance (i.e., how well established structural similarities are recognized) were assessed. The servers were subjected to a battery of performance tests covering a broad spectrum of folds as well as special cases, such as multidomain proteins, Calpha-only models, new folds, and NMR-based models. The CATH structural classification system was used as a reference. These tests revealed the strong and weak sides of each server. On the whole, CE, DALI, MATRAS, and VAST showed the best performance, but none of the servers achieved a 100% success rate. Where no structurally similar proteins are found by any individual server, it is recommended to try one or two other servers before any conclusions concerning the novelty of a fold are put on paper.

摘要

当确定了一种新的蛋白质结构后,将其与已知结构数据库进行比较,能够将其折叠方式分类为新的或属于已知的蛋白质类别。这反过来可能会提供有关该蛋白质功能的线索。已经开发了大量的折叠比较程序,但从未对它们进行过全面且严格的比较分析。在此,我们描述了对11个基于网络的公开可用自动折叠比较服务器的评估。评估了它们的功能(例如,用户界面、结果展示和注释)以及性能(即识别既定结构相似性的能力)。这些服务器接受了一系列性能测试,涵盖了广泛的折叠方式以及特殊情况,如多结构域蛋白质、仅含α碳原子的模型、新的折叠方式和基于核磁共振的模型。使用CATH结构分类系统作为参考。这些测试揭示了每个服务器的优缺点。总体而言,CE、DALI、MATRAS和VAST表现最佳,但没有一个服务器的成功率达到100%。如果任何单个服务器都未找到结构相似的蛋白质,建议在就折叠方式的新颖性得出任何结论之前,尝试使用一两个其他服务器。

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