Servers for sequence-structure relationship analysis and prediction

被引:12
|
作者
Dosztányi, Z
Magyar, C
Tusnády, GE
Cserzo, M
Fiser, A
Simon, I
机构
[1] Hungarian Acad Sci, Biol Res Ctr, Inst Enzymol, H-1518 Budapest, Hungary
[2] Agr Biotechnol Ctr, Bioinformat Grp, H-2100 Godollo, Hungary
[3] Albert Einstein Coll Med, Dept Biochem, Bronx, NY 10461 USA
[4] Albert Einstein Coll Med, Seaver Fdn Ctr Bioinformat, Bronx, NY 10461 USA
关键词
D O I
10.1093/nar/gkg589
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:3359 / 3363
页数:5
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