Dosztányi Zsuzsanna, Magyar Csaba, Tusnády Gábor E, Cserzo Miklós, Fiser András, Simon István
Institute of Enzymology, Biological Research Center, Hungarian Academy of Sciences, H-1518 Budapest, PO Box 7, Hungary.
Nucleic Acids Res. 2003 Jul 1;31(13):3359-63. doi: 10.1093/nar/gkg589.
We describe several algorithms and public servers that were developed to analyze and predict various features of protein structures. These servers provide information about the covalent state of cysteine (CYSREDOX), as well as about residues involved in non-covalent cross links that play an important role in the structural stability of proteins (SCIDE and SCPRED). We also discuss methods and servers developed to identify helical transmembrane proteins from large databases and rough genomic data, including two of the most popular transmembrane prediction methods, DAS and HMMTOP. Several biologically interesting applications of these servers are also presented. The servers are available through http://www.enzim.hu/servers.html.
我们描述了几种为分析和预测蛋白质结构的各种特征而开发的算法和公共服务器。这些服务器提供有关半胱氨酸共价状态(CYSREDOX)的信息,以及有关在蛋白质结构稳定性中起重要作用的非共价交联中涉及的残基的信息(SCIDE和SCPRED)。我们还讨论了为从大型数据库和粗略基因组数据中识别螺旋跨膜蛋白而开发的方法和服务器,包括两种最流行的跨膜预测方法DAS和HMMTOP。还介绍了这些服务器的一些具有生物学意义的应用。可通过http://www.enzim.hu/servers.html访问这些服务器。