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Predicting dihedral angle probability distributions for protein coil residues from primary sequence...

Predicting dihedral angle probability distributions for protein coil residues from primary sequence...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cd644bb708014ae884536ec958216cd9

Predicting dihedral angle probability distributions for protein coil residues from primary sequence using neural networks

About this item

Full title

Predicting dihedral angle probability distributions for protein coil residues from primary sequence using neural networks

Publisher

England: BioMed Central Ltd

Journal title

BMC bioinformatics, 2009-10, Vol.10 (1), p.338-338, Article 338

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Predicting the three-dimensional structure of a protein from its amino acid sequence is currently one of the most challenging problems in bioinformatics. The internal structure of helices and sheets is highly recurrent and help reduce the search space significantly. However, random coil segments make up nearly 40% of proteins and they do not have a...

Alternative Titles

Full title

Predicting dihedral angle probability distributions for protein coil residues from primary sequence using neural networks

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_cd644bb708014ae884536ec958216cd9

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cd644bb708014ae884536ec958216cd9

Other Identifiers

ISSN

1471-2105

E-ISSN

1471-2105

DOI

10.1186/1471-2105-10-338

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