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Machine learning methods can replace 3D profile method in classification of amyloidogenic hexapeptid...

Machine learning methods can replace 3D profile method in classification of amyloidogenic hexapeptid...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ec1c36065c064b4c9857a203a1d75aae

Machine learning methods can replace 3D profile method in classification of amyloidogenic hexapeptides

About this item

Full title

Machine learning methods can replace 3D profile method in classification of amyloidogenic hexapeptides

Publisher

England: BioMed Central Ltd

Journal title

BMC bioinformatics, 2013-01, Vol.14 (1), p.21-21, Article 21

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Amyloids are proteins capable of forming fibrils. Many of them underlie serious diseases, like Alzheimer disease. The number of amyloid-associated diseases is constantly increasing. Recent studies indicate that amyloidogenic properties can be associated with short segments of aminoacids, which transform the structure when exposed. A few hundreds of...

Alternative Titles

Full title

Machine learning methods can replace 3D profile method in classification of amyloidogenic hexapeptides

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ec1c36065c064b4c9857a203a1d75aae

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ec1c36065c064b4c9857a203a1d75aae

Other Identifiers

ISSN

1471-2105

E-ISSN

1471-2105

DOI

10.1186/1471-2105-14-21

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