A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction (Q35142478)

6 August 2017

title

A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction (English)

1 reference

protein structure prediction

6 August 2017

0 references

0 references

2

Jesse Eickholt

1 reference

6 August 2017

Matt Spencer

1

1 reference

6 August 2017

Jianlin Cheng

series ordinal

3

1 reference

6 August 2017

publication date

1 January 2015

1 reference

IEEE/ACM Transactions on Computational Biology and Bioinformatics

6 August 2017

published in

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6 August 2017

volume

12

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6 August 2017

issue

1

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6 August 2017

page(s)

103-112

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DNdisorder: predicting protein disorder using boosting and deep networks

6 August 2017

cites work

1 reference

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28 July 2018

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28 July 2018

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Protein 8-class secondary structure prediction using conditional neural fields

28 July 2018

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28 July 2018

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28 July 2018

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28 July 2018

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28 July 2018

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28 July 2018

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28 July 2018

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Critical assessment of methods of protein structure prediction (CASP)-round V.

28 July 2018

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Training products of experts by minimizing contrastive divergence

28 July 2018

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Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles.

28 July 2018

1 reference

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28 July 2018

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Application of multiple sequence alignment profiles to improve protein secondary structure prediction

28 July 2018

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28 July 2018

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Protein secondary structure prediction based on position-specific scoring matrices

28 July 2018

1 reference

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A modified definition of Sov, a segment-based measure for protein secondary structure prediction assessment.

28 July 2018

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

28 July 2018

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Conformational parameters for amino acids in helical, beta-sheet, and random coil regions calculated from proteins

28 July 2018

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A new approach to protein fold recognition

28 July 2018

1 reference

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Critical assessment of methods of protein structure prediction (CASP)--round x

28 July 2018

1 reference

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27 September 2018

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27 September 2018

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27 September 2018

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27 September 2018

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Protein secondary structure prediction based on an improved support vector machines approach

27 September 2018

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Secondary structure prediction with support vector machines

27 September 2018

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Assessment of novel fold targets in CASP4: predictions of three-dimensional structures, secondary structures, and interresidue contacts.

27 September 2018

1 reference

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A novel method of protein secondary structure prediction with high segment overlap measure: support vector machine approach.

27 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4348072

Prediction of protein secondary structure at 80% accuracy.

27 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4348072

GOR method for predicting protein secondary structure from amino acid sequence.

27 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4348072

Combining evolutionary information and neural networks to predict protein secondary structure

27 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4348072

Improving fold recognition without folds

27 September 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/25750595

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1109/TCBB.2014.2343960

1 reference

6 August 2017

1 reference

6 August 2017

1 reference