A comprehensive assessment of N-terminal signal peptides prediction methods (Q30951432)

20 August 2017

A comprehensive assessment of N-terminal signal peptides prediction methods (English)

1 reference

20 August 2017

3

Shoba Ranganathan

1 reference

20 August 2017

Khar Heng Choo

1

1 reference

PMCID

2788353

20 August 2017

Tin Wee Tan

series ordinal

2

1 reference

20 August 2017

3 December 2009

1 reference

20 August 2017

1 reference

20 August 2017

10 Suppl 15

1 reference

20 August 2017

S2

1 reference

Creative Commons Attribution 2.0 Generic

20 August 2017

start time

1 December 2009

1 reference

April 2022 Public Data File from Crossref

copyright status

copyrighted

0 references

exact match

https://scigraph.springernature.com/pub.10.1186/1471-2105-10-s15-s2

0 references

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21 June 2018

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The secreted protein discovery initiative (SPDI), a large-scale effort to identify novel human secreted and transmembrane proteins: a bioinformatics assessment

21 June 2018

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The Genome sequence of the SARS-associated coronavirus

21 June 2018

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Extensive feature detection of N-terminal protein sorting signals

21 June 2018

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A comparison of signal sequence prediction methods using a test set of signal peptides

21 June 2018

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

21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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Profile hidden Markov models

21 June 2018

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Gapped BLAST and PSI-BLAST: a new generation of protein database search programs

21 June 2018

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Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites

21 June 2018

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21 June 2018

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21 June 2018

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A general method applicable to the search for similarities in the amino acid sequence of two proteins

21 June 2018

1 reference

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A new method for predicting signal sequence cleavage sites

21 June 2018

1 reference

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CLEAVAGE: a microcomputer program for predicting signal sequence cleavage sites.

21 June 2018

1 reference

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21 June 2018

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Prediction of signal peptides in archaea

21 June 2018

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High-performance signal peptide prediction based on sequence alignment techniques

25 November 2018

1 reference

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Prediction of signal peptides in protein sequences by neural networks.

25 November 2018

1 reference

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Signal-3L: A 3-layer approach for predicting signal peptides

25 November 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2788353

Signal-CF: a subsite-coupled and window-fusing approach for predicting signal peptides.

25 November 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2788353

Predicting secretory protein signal sequence cleavage sites by fusing the marks of global alignments

25 November 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2788353

Detecting and sorting targeting peptides with neural networks and support vector machines.

25 November 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2788353

Prediction of signal peptides using bio-basis function neural networks and decision trees.

25 November 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2788353

Information theory in prediction of cleavage sites of signal peptides.

25 November 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2788353

Prediction of subcellular localization using sequence-biased recurrent networks.

25 November 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2788353

Predotar: A tool for rapidly screening proteomes for N-terminal targeting sequences

25 November 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2788353

Swiss-Prot: juggling between evolution and stability.

25 November 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2788353

SPEPlip: the detection of signal peptide and lipoprotein cleavage sites

25 November 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2788353

Support vector machines for prediction of protein signal sequences and their cleavage sites

25 November 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2788353

Support vector machine prediction of signal peptide cleavage site using a new class of kernels for strings

25 November 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2788353

Adaptive encoding neural networks for the recognition of human signal peptide cleavage sites.

25 November 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2788353

Prediction of signal peptides and signal anchors by a hidden Markov model.

25 November 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2788353

SIGSEQ: a computer program for predicting signal sequence cleavage sites

25 November 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/19958512

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

A profile hidden Markov model for signal peptides generated by HMMER

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/19958512

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1186/1471-2105-10-S15-S2

1 reference

20 August 2017

journals/bmcbi/ChooTR09

1 reference

DBLP Dataset 2021-01-02

Dimensions Publication ID

28 January 2021

0 references

1 reference

20 August 2017

1 reference

PMCID

2788353