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RosettaES: a sampling strategy enabling automated interpretation of difficult cryo-EM maps

RosettaES: a sampling strategy enabling automated interpretation of difficult cryo-EM maps

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6009829

RosettaES: a sampling strategy enabling automated interpretation of difficult cryo-EM maps

About this item

Full title

RosettaES: a sampling strategy enabling automated interpretation of difficult cryo-EM maps

Publisher

New York: Nature Publishing Group US

Journal title

Nature methods, 2017-08, Vol.14 (8), p.797-800

Language

English

Formats

Publication information

Publisher

New York: Nature Publishing Group US

More information

Scope and Contents

Contents

RosettaES, an algorithm that uses a fragment-based sampling strategy, improves macromolecular structure modeling from cryo-EM data at 3–5-Å resolution.
Accurate atomic modeling of macromolecular structures into cryo-electron microscopy (cryo-EM) maps is a major challenge, as the moderate resolution makes accurate placement of atoms difficult. We...

Alternative Titles

Full title

RosettaES: a sampling strategy enabling automated interpretation of difficult cryo-EM maps

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6009829

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6009829

Other Identifiers

ISSN

1548-7091

E-ISSN

1548-7105

DOI

10.1038/nmeth.4340

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