The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
ChloroP, a neural network‐based method for predicting chloroplast transit peptides and their cleavage sites
Open accessAbstract
We present a neural network based method (ChloroP) for identifying chloroplast transit peptides and their cleavage sites. Using cross‐validation, 88% of the sequences in our homology reduced training set were correctly classified as transit peptides or nontransit peptides. This performance level is well above that of the publicly available chloroplast localization predictor PSORT. Cleavage sites are predicted using a scoring matrix derived by an automatic motif‐finding algorithm. Approximately 60% of the known cleavage sites in our sequence collection were predicted to within 62 residues from the cleavage sites given in SWISS‐PROT. An analysis of 715 Arabidopsis thaliana sequences from SWISS‐PROT suggests that the ChloroP method should be useful for the identification of putative transit peptides in genome‐wide sequence data. The ChloroP predictor is available as a web‐server at http://www.cbs.dtu.dk/services/ChloroP/.
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A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
Comparison of the predicted and observed secondary structure of T4 phage lysozyme
Matthews, B. W. (1975) · Biochimica et Biophysica Acta (BBA) - Protein Structure · doi:10.1016/0005-2795(75)90109-9 · Cited by 5,399
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Millen, R. S., Olmstead, R. G., Adams, K. L., Palmer, J. D., Lao, N. T., Heggie, L., Kavanagh, T. A., Hibberd, J. M., Gray, J. C., Morden, C. W., et al. (2001) · The Plant Cell · doi:10.1105/tpc.13.3.645 · Cited by 503
Metadata
- Authors
- Emanuelsson, O., Nielsen, H., & Heijne, G. V.
- Venue
- Protein Science
- Publisher
- Wiley
- Published
- 1999-01
- Volume
- 8
- Issue
- 5
- Pages
- 978-984
- ISSN
- 0961-8368 (ISSN-L)
- 1469-896X
- OpenAlex
- W2129095580
- Cited by
- 1,814
- References
- 2
- FWCI
- 17.07
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Emanuelsson, O., Nielsen, H., & Heijne, G. V. (1999). ChloroP, a neural network‐based method for predicting chloroplast transit peptides and their cleavage sites. Protein Science. https://doi.org/10.1110/ps.8.5.978
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