EVA: large-scale analysis of secondary structure prediction (Q34113376)

31 July 2017

title

EVA: large-scale analysis of secondary structure prediction (English)

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31 July 2017

Rost B

1

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31 July 2017

Eyrich VA

series ordinal

2

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31 July 2017

language of work or name

English

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publication date

1 January 2001

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31 July 2017

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31 July 2017

volume

Suppl 5

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31 July 2017

page(s)

192-199

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Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features

31 July 2017

cites work

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Cascaded multiple classifiers for secondary structure prediction

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Protein secondary structure prediction based on position-specific scoring matrices

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Exploiting the past and the future in protein secondary structure prediction

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Bridging the protein sequence-structure gap by structure predictions

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Progress of 1D protein structure prediction at last

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JPred: a consensus secondary structure prediction server

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Prediction of protein secondary structure at better than 70% accuracy

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Combining evolutionary information and neural networks to predict protein secondary structure

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The structure, function and evolution of cytochromes

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Redefining the goals of protein secondary structure prediction

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Evaluation of current techniques for ab initio protein structure prediction

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Improvements in protein secondary structure prediction by an enhanced neural network

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An optimization approach to predicting protein structural class from amino acid composition

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A structural census of the current population of protein sequences

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A protein taxonomy based on secondary structure

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Prediction of protein secondary structure content.

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Theory of protein secondary structure and algorithm of its prediction.

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Analysis of the effect of local interactions on protein stability.

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Protein engineering as a strategy to avoid formation of amyloid fibrils

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Predicting conformational switches in proteins

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What is the minimum number of residues to determine the secondary structural state?

21 January 2018

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Predictions of protein segments with the same aminoacid sequence and different secondary structure: a benchmark for predictive methods.

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An analysis of the helix-to-strand transition between peptides with identical sequence.

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Predicting allosteric switches in myosins.

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Prediction of the location and type of beta-turns in proteins using neural networks.

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HMMSTR: a hidden Markov model for local sequence-structure correlations in proteins.

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

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Context-dependent secondary structure formation of a designed protein sequence

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21 January 2018

Identifiers

DOI

10.1002/PROT.10051

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31 July 2017

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