(Q48475836)

11 February 2018

title

pTARGET [corrected] a new method for predicting protein subcellular localization in eukaryotes. (English)

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11 February 2018

author name string

Chittibabu Guda

series ordinal

1

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11 February 2018

Shankar Subramaniam

series ordinal

2

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11 February 2018

language of work or name

English

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publication date

6 September 2005

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11 February 2018

published in

Bioinformatics

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11 February 2018

volume

21

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11 February 2018

page(s)

3963-3969

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11 February 2018

issue

21

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11 February 2018

SledgeHMMER: a web server for batch searching the Pfam database

cites work

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MITOPRED: a genome-scale method for prediction of nucleus-encoded mitochondrial proteins.

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Using neural networks for prediction of the subcellular location of proteins

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Measuring the accuracy of diagnostic systems

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The Pfam protein families database

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

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

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Predicting protein cellular localization using a domain projection method

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Better prediction of sub-cellular localization by combining evolutionary and structural information.

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KDEL and KKXX retrieval signals appended to the same reporter protein determine different trafficking between endoplasmic reticulum, intermediate compartment, and Golgi complex

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Clustering of highly homologous sequences to reduce the size of large protein databases

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Inferring sub-cellular localization through automated lexical analysis.

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Localizing proteins in the cell from their phylogenetic profiles.

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Import of peroxisomal matrix and membrane proteins

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Identifiers

DOI

10.1093/BIOINFORMATICS/BTI650

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11 February 2018

journals/bioinformatics/GudaS05

DBLP publication ID

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

11 February 2018