PHD--an automatic mail server for protein secondary structure prediction.

B Rost; C Sander; R Schneider

doi:10.1093/bioinformatics/10.1.53

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PHD--an automatic mail server for protein secondary structure prediction.

B Rost·C Sander·R Schneider

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Abstract

By the middle of 1993, > 30,000 protein sequences has 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 (evaluated on 126 unique protein chains).

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Algorithms Amino Acid Sequence Biological Evolution Computer Communication Networks Databases, Factual Molecular Sequence Data Neural Networks, Computer Office Automation Protein Structure, Secondary Proteins Sequence Alignment Journal Article

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B Rost, C Sander, R Schneider. 1994. PHD--an automatic mail server for protein secondary structure prediction.. https://doi.org/10.1093/bioinformatics%2F10.1.53

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