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Cited by 182

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Prediction of organellar targeting signals

Open access
Emanuelsson, Olof, von Heijne, Gunnar·2001·Biochimica et Biophysica Acta (BBA) - Molecular Cell Research

Abstract

The subcellular location of a protein is an important characteristic with functional implications, and hence the problem of predicting subcellular localization from the amino acid sequence has received a fair amount of attention from the bioinformatics community. This review attempts to summarize the present state of the art in the field.

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Metadata

Authors
Emanuelsson, O., & von Heijne, G.
Venue
Biochimica et Biophysica Acta (BBA) - Molecular Cell Research
Publisher
Elsevier BV
Published
2001-12
Volume
1541
Issue
1-2
Pages
114-119
ISSN
0167-4889 (ISSN-L)
OpenAlex
W2102204014
Cited by
182
References
4
FWCI
6.41
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Prediction of organellar targeting signals. https://app.cochat.ai/papers/10.1016/s0167-4889(01)00145-8
The paper
Emanuelsson, O., & von Heijne, G. (2001). Prediction of organellar targeting signals. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. https://doi.org/10.1016/s0167-4889(01)00145-8

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.