The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Expert system for predicting protein localization sites in gram‐negative bacteria
Abstract
We have developed an expert system that makes use of various kinds of knowledge organized as “if‐then” rules for predicting protein localization sites in Gram‐negative bacteria, given the amino acid sequence information alone. We considered four localization sites: the cytoplasm, the inner (cytoplasmic) membrane, the periplasm, and the outer membrane. Most rules were derived from experimental observations. For example, the rule to recognize an inner membrane protein is the presence of either a hydrophobic stretch in the predicted mature protein or an uncleavable N‐terminal signal sequence. Lipoproteins are first recognized by a consensus pattern and then assumed present at either the inner or outer membrane. These two possibilities are further discriminated by examining an acidic residue in the mature N‐terminal portion. Furthermore, we found an empirical rule that periplasmic and outer membrane proteins were successfully discriminated by their different amino acid composition. Overall, our system could predict 83% of the localization sites of proteins in our database.
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Cites
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Self-citationCompilation of published signal sequences
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Improved Prediction of Signal Peptides: SignalP 3.0
Dyrløv Bendtsen, J., Nielsen, H., von Heijne, G., & Brunak, S. (2004) · Journal of Molecular Biology · doi:10.1016/j.jmb.2004.05.028 · Cited by 6,350
Friedreich's Ataxia: Autosomal Recessive Disease Caused by an Intronic GAA Triplet Repeat Expansion
Campuzano, V., Montermini, L., Moltò, M. D., Pianese, L., Cossée, M., Cavalcanti, F., Monros, E., Rodius, F., Duclos, F., Monticelli, A., et al. (1996) · Science · doi:10.1126/science.271.5254.1423 · Cited by 2,786
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Self-citationYu, C., Lin, C., & Hwang, J. (2004) · Protein Science · doi:10.1110/ps.03479604 · Cited by 916
Support vector machine approach for protein subcellular localization prediction
Hua, S., & Sun, Z. (2001) · Bioinformatics · doi:10.1093/bioinformatics/17.8.721 · Cited by 854
Metadata
- Authors
- Nakai, K., & Kanehisa, M.
- Venue
- Proteins: Structure, Function, and Bioinformatics
- Publisher
- Wiley
- Published
- 1991-10
- Volume
- 11
- Issue
- 2
- Pages
- 95-110
- ISSN
- 0887-3585 (ISSN-L)
- 1097-0134
- OpenAlex
- W2124306486
- Cited by
- 746
- References
- 27
- FWCI
- 1.01
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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