The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Computational Method to Predict Mitochondrially Imported Proteins and their Targeting Sequences
Abstract
Most of the proteins that are used in mitochondria are imported through the double membrane of the organelle. The information that guides the protein to mitochondria is contained in its sequence and structure, although no direct evidence can be obtained. In this article, discriminant analysis has been performed with 47 parameters and a large set of mitochondrial proteins extracted from the SwissProt database. A computational method that facilitates the analysis and objective prediction of mitochondrially imported proteins has been developed. If only the amino acid sequence is considered, 75–97% of the mitochondrial proteins studied have been predicted to be imported into mitochondria. Moreover, the existence of mitochondrial‐targeting sequences is predicted in 76–94% of the analyzed mitochondrial precursor proteins. As a practical application, the number of unknown yeast open reading frames that might be mitochondrial proteins has been predicted, which revealed that many of them are clustered.
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Cites
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Metadata
- Authors
- Claros, M. G., & Vincens, P.
- Venue
- European Journal of Biochemistry
- Publisher
- Wiley
- Published
- 1996-11
- Volume
- 241
- Issue
- 3
- Pages
- 779-786
- ISSN
- 0014-2956 (ISSN-L)
- 1432-1033
- OpenAlex
- W2137424160
- Cited by
- 1,643
- References
- 24
- FWCI
- 4.21
- Type
- journal article
- Language
- en
- Open access
- closed
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- Claros, M. G., & Vincens, P. (1996). Computational Method to Predict Mitochondrially Imported Proteins and their Targeting Sequences. European Journal of Biochemistry. https://doi.org/10.1111/j.1432-1033.1996.00779.x
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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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