Servers for sequence-structure relationship analysis and prediction

Zsuzsanna Dosztányi, Csaba Magyar, Gábor E. Tusnády, Miklós Cserzo, András Fiser, István Simon

Research output: Contribution to journalArticle

10 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)3359-3363
Number of pages5
JournalNucleic acids research
Volume31
Issue number13
DOIs
StatePublished - Jul 1 2003

ASJC Scopus subject areas

  • Genetics

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    Dosztányi, Z., Magyar, C., Tusnády, G. E., Cserzo, M., Fiser, A., & Simon, I. (2003). Servers for sequence-structure relationship analysis and prediction. Nucleic acids research, 31(13), 3359-3363. https://doi.org/10.1093/nar/gkg589