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title:(Neural AND Network AND prediction AND of AND protein AND structure)

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1 Book

Neural Network prediction of protein structure

Bohr, Henrik

Polyteknisk Forlag — 1998

Year: 1998

Language: English

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2 Book chapter

Neural networks for protein structure prediction

Bohr, Henrik G.

Scientific Applications of Neural Nets — 1999, pp. 189-206

This is a review of neural network applications in bioinformatics. In particular, the applications to protein structure prediction are discussed here. Examples of such applications are prediction of secondary structures, prediction of surface structure, fold class recognition and prediction

Year: 1999

Language: English

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3 Conference paper

Neural Networks for protein Structure Prediction

Bohr, Henrik

Scientific Applications of Neural Networks — 1998

This is a review about neural network applications in bioinformatics. Especially the applications to protein structure prediction, e.g. prediction of secondary structures, prediction of surface structure, fold class recognition and prediction of the 3-dimensional structure of protein backbones

Year: 1998

Language: English

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4 Journal article

A novel approach to prediction of the 3-dimensional structures of protein backbones by neural networks

Three-dimensional structures of protein backbones have been predicted using neural networks. A feed forward neural network was trained on a class of functionally, but not structurally, homologous proteins, using backpropagation learning. The network generated tertiary structure information

Year: 1990

Language: English

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5 Book chapter

A novel approach to prediction of the 3-dimensional structure of the protein backbones by neural networks

Fredholm, H.; Bohr, H.; Bohr, J.; Brunak, S.; Cotterill, R.M.J.; Lautrup, B.; et al. (1 more)

Advances in Neural Information Processing Systems 3 — 1991, pp. 523-529

Year: 1991

Language: English

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6 Book chapter

Prediction of Protein Secondary Structure at High Accuracy Using a Combination of Many Neural Networks

Lundegaard, Claus; Petersen, Thomas Nordahl; Nielsen, Morten; Bohr, Henrik; Bohr, Jacob; Brunak, Søren; et al. (2 more)

Mathematical Methods for Protein Structure Analysis and Design — 2003, pp. 117-122

A protein secondary structure prediction protocol involving up to 800 neural network predictions has been developed by SBI-AT. An overall performance of 80% is obtained for three-state (helix, strand, coil) DSSP categories. Input to primary-layer neural networks includes sequence profiles, relative

Year: 2003

Language: English

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7 Journal article · Conference paper

Prediction of protein secondary structure at 80% accuracy using a combination of many neural networks

Year: 2000

Language: English

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