PHD-an automatic mail server for protein secondary structure prediction

Burkhard Rost, Chris Sander, Reinhard Schneider

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

676 Zitate (Scopus)

Abstract

By the middle of 1993, >30 000 protein sequences had been listed. For 1000 of these, the three-dimensional (tertiary) structure has been experimentally solved. Another 7000 can be modelled by homology. For the remaining 21 000 sequences, secondary structure prediction provides a rough estimate of structural features. Predictions in three states range between 35% (random) and 88% (homology modelling) overall accuracy. Using information about evolutionary conservation as contained in multiple sequence alignments, the secondary structure of 4700 protein sequences was predicted by the automatic e-mail server PHD. For proteins with at least one known homologue, the method has an expected overall three-state accuracy of 71.4% for proteins with at least one known homologue (e on 126 unique protein chains).

OriginalspracheEnglisch
Seiten (von - bis)53-60
Seitenumfang8
FachzeitschriftBioinformatics
Jahrgang10
Ausgabenummer1
DOIs
PublikationsstatusVeröffentlicht - Feb. 1994
Extern publiziertJa

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