title: Servers for sequence-structure relationship analysis and prediction.
abstract: 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.
authors.affiliation: Institute of Enzymology, Biological Research Center, Hungarian Academy of Sciences, H-1518 Budapest, PO Box 7, Hungary.
authors.forename: Zsuzsanna
authors.initials: Z
authors.lastname: Dosztányi
authors.forename: Csaba
authors.initials: C
authors.lastname: Magyar
authors.forename: Gábor E
authors.initials: GE
authors.lastname: Tusnády
authors.forename: Miklós
authors.initials: M
authors.lastname: Cserzo
authors.forename: András
authors.initials: A
authors.lastname: Fiser
authors.forename: István
authors.initials: I
authors.lastname: Simon
mesh_terms: D000465:Algorithms; D000596:Amino Acids / Q000737:chemistry; D003545:Cysteine / Q000737:chemistry; D020407:Internet; D008565:Membrane Proteins / Q000737:chemistry*; D008969:Molecular Sequence Data; D010084:Oxidation-Reduction; D011506:Proteins / Q000737:chemistry* / Q000502:physiology; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software
chemical_list: D000596:Amino Acids; D008565:Membrane Proteins; D011506:Proteins; D003545:Cysteine