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Automated construction of structural motifs for predicting functional sites on protein structures (2003)
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| Venue: | In Pacific Symposium on Biocomputing |
| Citations: | 11 - 2 self |
BibTeX
@INPROCEEDINGS{Liang03automatedconstruction,
author = {M. P. Liang and D. L. Brutlag and R. B. Altman},
title = {Automated construction of structural motifs for predicting functional sites on protein structures},
booktitle = {In Pacific Symposium on Biocomputing},
year = {2003},
pages = {204--215}
}
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Abstract
Structural genomics initiatives are beginning to rapidly generate vast numbers of protein structures. For many of the structures, functions are not yet determined and high-throughput methods for determining function are necessary. Although there has been extensive work in function prediction at the sequence level, predicting function at the structure level may provide better sensitivity and predictive value. We describe a method to predict functional sites by automatically creating three dimensional structural motifs from amino acid sequence motifs. These structural motifs perform comparably well with manually generated structural motifs and perform better than sequence motifs. Automatically generated structural motifs can be used for structural-genomic scale function prediction on protein structures.
Keyphrases
protein structure structural motif functional site automated construction predictive value sequence level dimensional structural motif vast number extensive work structural genomics initiative structural motif perform amino acid sequence motif high-throughput method structural-genomic scale function prediction generated structural motif function prediction structure level sequence motif
