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Beyond rotamers: a generative, probabilistic model of side chains in proteins

Beyond rotamers: a generative, probabilistic model of side chains in proteins

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7c75cb6bcb9c419f97cf04ddcc83d9c3

Beyond rotamers: a generative, probabilistic model of side chains in proteins

About this item

Full title

Beyond rotamers: a generative, probabilistic model of side chains in proteins

Publisher

England: BioMed Central Ltd

Journal title

BMC bioinformatics, 2010-06, Vol.11 (1), p.306-306, Article 306

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Accurately covering the conformational space of amino acid side chains is essential for important applications such as protein design, docking and high resolution structure prediction. Today, the most common way to capture this conformational space is through rotamer libraries - discrete collections of side chain conformations derived from experime...

Alternative Titles

Full title

Beyond rotamers: a generative, probabilistic model of side chains in proteins

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_7c75cb6bcb9c419f97cf04ddcc83d9c3

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7c75cb6bcb9c419f97cf04ddcc83d9c3

Other Identifiers

ISSN

1471-2105

E-ISSN

1471-2105

DOI

10.1186/1471-2105-11-306

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