(Q24547827)

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Using neural networks for prediction of the subcellular location of proteins

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title

Using neural networks for prediction of the subcellular location of proteins (English)

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main subject

artificial neural network

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2

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author name string

A Reinhardt

series ordinal

1

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language of work or name

English

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publication date

1 May 1998

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published in

Nucleic Acids Research

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volume

26

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page(s)

2230-6

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issue

9

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describes a project that uses

artificial neural network

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inferred from title

cites work

Complete sequence analysis of the genome of the bacterium Mycoplasma pneumoniae

1 reference

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PubMed Central

reference URL

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24 March 2017

Complete Genome Sequence of the Methanogenic Archaeon, Methanococcus jannaschii

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PubMed Central

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24 March 2017

Combining evolutionary information and neural networks to predict protein secondary structure

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PubMed Central

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7 April 2017

A knowledge base for predicting protein localization sites in eukaryotic cells

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PubMed Central

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retrieved

7 April 2017

Relation between amino acid composition and cellular location of proteins.

1 reference

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PubMed Central

reference URL

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retrieved

27 September 2017

The SWISS-PROT protein sequence data bank and its supplement TrEMBL

1 reference

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PubMed Central

reference URL

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=147531

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27 September 2017

Prediction of secondary structural content of proteins from their amino acid composition alone. II. The paradox with secondary structural class

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PubMed Central

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27 September 2017

The SWISS-PROT protein sequence data bank, recent developments

1 reference

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PubMed Central

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retrieved

27 September 2017

Transmembrane helices predicted at 95% accuracy

1 reference

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PubMed Central

reference URL

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retrieved

27 September 2017

Discrimination of intracellular and extracellular proteins using amino acid composition and residue-pair frequencies.

1 reference

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PubMed Central

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https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=147531

retrieved

28 November 2018

The amino acid composition is different between the cytoplasmic and extracellular sides in membrane proteins

1 reference

stated in

PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/9547285

retrieved

12 December 2020

based on heuristic

inferred from PubMed ID database lookup

Identifiers

DOI

10.1093/NAR/26.9.2230

1 reference

stated in

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

422694

OpenCitations bibliographic resource ID

422694

1 reference

stated in

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

1 reference

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

1 reference

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

422694

ResearchGate publication ID

13725842

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(Q24547827)

Using neural networks for prediction of the subcellular location of proteins

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