(Q28292999)

1

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Oliver Kohlbacher

5

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Pierre Dönnes

2

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author name string

Torsten Blum

3

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Hans-Werner Adolph

Adaptation of protein surfaces to subcellular location

4

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language of work or name

English

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publication date

15 May 2006

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published in

Bioinformatics

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volume

22

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issue

10

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page(s)

1158-65

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cites work

1 reference

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The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000.

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Extensive feature detection of N-terminal protein sorting signals

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ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST.

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Nearest neighbour algorithm for predicting protein subcellular location by combining functional domain composition and pseudo-amino acid composition.

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Predicting 22 protein localizations in budding yeast.

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Predicting subcellular localization of proteins in a hybridization space

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Using Functional Domain Composition and Support Vector Machines for Prediction of Protein Subcellular Location

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Predicting subcellular localization of proteins by hybridizing functional domain composition and pseudo-amino acid composition.

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1 reference

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Predicting protein localization in budding yeast

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Finding nuclear localization signals

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Predicting subcellular localization of proteins based on their N-terminal amino acid sequence

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Starts of bacterial genes: estimating the reliability of computer predictions

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Support vector machine-based method for subcellular localization of human proteins using amino acid compositions, their order, and similarity search

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Intracellular functions of N-linked glycans

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Support vector machine approach for protein subcellular localization prediction

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Localizing proteins in the cell from their phylogenetic profiles.

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Comparison of the predicted and observed secondary structure of T4 phage lysozyme

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A single gene of chloroplast origin codes for mitochondrial and chloroplastic methionyl-tRNA synthetase in Arabidopsis thaliana

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NLSdb: database of nuclear localization signals

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Mimicking cellular sorting improves prediction of subcellular localization

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PSORT: a program for detecting sorting signals in proteins and predicting their subcellular localization

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A knowledge base for predicting protein localization sites in eukaryotic cells

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Prediction of protein subcellular locations by support vector machines using compositions of amino acids and amino acid pairs.

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Biosynthetic protein transport and sorting by the endoplasmic reticulum and Golgi

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Using neural networks for prediction of the subcellular location of proteins

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Automatic prediction of protein function

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Protein transport via amino-terminal targeting sequences: common themes in diverse systems

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Predicting subcellular localization via protein motif co-occurrence

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CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice

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Prediction of protein subcellular locations using fuzzy k-NN method

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10.1093/BIOINFORMATICS/BTL002

21 January 2018

Identifiers

DOI

1 reference

Consolidated OpenCitations Corpus – April 2017

journals/bioinformatics/HoglundDBAK06

DBLP publication ID

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

Consolidated OpenCitations Corpus – April 2017

PubMed publication ID

16428265

1 reference

Consolidated OpenCitations Corpus – April 2017