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Gentle and fast all-atom model refinement to cryo-EM densities via a maximum likelihood approach

Gentle and fast all-atom model refinement to cryo-EM densities via a maximum likelihood approach

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2851974419

Gentle and fast all-atom model refinement to cryo-EM densities via a maximum likelihood approach

About this item

Full title

Gentle and fast all-atom model refinement to cryo-EM densities via a maximum likelihood approach

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2023-07, Vol.19 (7), p.e1011255

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Better detectors and automated data collection have generated a flood of high-resolution cryo-EM maps, which in turn has renewed interest in improving methods for determining structure models corresponding to these maps. However, automatically fitting atoms to densities becomes difficult as their resolution increases and the refinement potential ha...

Alternative Titles

Full title

Gentle and fast all-atom model refinement to cryo-EM densities via a maximum likelihood approach

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2851974419

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2851974419

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1011255