(Q28843111)

18 June 2017

PROSHIFT: protein chemical shift prediction using artificial neural networks (English)

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artificial neural network

18 June 2017

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Jens Meiler

1

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Jens Meiler

series ordinal

1

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18 June 2017

1 May 2003

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Journal of Biomolecular NMR

18 June 2017

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Crossref

18 June 2017

26

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18 June 2017

25-37

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18 June 2017

1

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PubMed ID

12766400

describes a project that uses

18 June 2017

artificial neural network

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Improvements in protein secondary structure prediction by an enhanced neural network

inferred from title

cites work

1 reference

12 December 2020

Protein backbone angle restraints from searching a database for chemical shift and sequence homology

1 reference

12 December 2020

Chemical shifts and three-dimensional protein structures

1 reference

12 December 2020

RESCUE: an artificial neural network tool for the NMR spectral assignment of proteins.

1 reference

12 December 2020

Predicting protein secondary structure using neural net and statistical methods

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12 December 2020

Protein secondary structure prediction based on position-specific scoring matrices

1 reference

12 December 2020

Prediction of protein secondary structure at better than 70% accuracy

1 reference

12 December 2020

Rosetta in CASP4: progress in ab initio protein structure prediction

1 reference

12 December 2020

Automated structure elucidation of organic molecules from (13)c NMR spectra using genetic algorithms and neural networks.

1 reference

12 December 2020

Correlation between 15N NMR chemical shifts in proteins and secondary structure.

1 reference

12 December 2020

Protein secondary structure prediction using local alignments

1 reference

12 December 2020

Automated prediction of 15N, 13Calpha, 13Cbeta and 13C' chemical shifts in proteins using a density functional database

1 reference

12 December 2020

C alpha and C beta carbon-13 chemical shifts in proteins from an empirical database

1 reference

12 December 2020

Automated 1H and 13C chemical shift prediction using the BioMagResBank

1 reference

12 December 2020

New methods for accurate prediction of protein secondary structure

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12 December 2020

The 13C chemical-shift index: a simple method for the identification of protein secondary structure using 13C chemical-shift data

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12 December 2020

Solution structure of DinI provides insight into its mode of RecA inactivation

1 reference

12 December 2020

De novo determination of protein backbone structure from residual dipolar couplings using Rosetta

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12 December 2020

Using neural network predicted secondary structure information in automatic protein NMR assignment.

1 reference

12 December 2020

The chemical shift index: a fast and simple method for the assignment of protein secondary structure through NMR spectroscopy

1 reference

12 December 2020

Using neural networks for (13)c NMR chemical shift prediction-comparison with traditional methods

1 reference

12 December 2020

PHD: predicting one-dimensional protein structure by profile-based neural networks

1 reference

12 December 2020

1H, 13C and 15N random coil NMR chemical shifts of the common amino acids. I. Investigations of nearest-neighbor effects

1 reference

12 December 2020

Predicting the secondary structure of globular proteins using neural network models

1 reference

12 December 2020

Redefining the goals of protein secondary structure prediction

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12 December 2020

Probability-based protein secondary structure identification using combined NMR chemical-shift data

1 reference

12 December 2020

Fast determination of 13C NMR chemical shifts using artificial neural networks

1 reference

12 December 2020

Prediction of protein secondary structure at 80% accuracy.

1 reference

12 December 2020

Identifiers

DOI

10.1023/A:1023060720156

1 reference

PubMed ID

12766400

Dimensions Publication ID

18 June 2017

0 references

1 reference

PubMed ID

12766400