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Title: Cryo-EM map interpretation and protein model-building using iterative map segmentation

Journal Article · · Protein Science
DOI: https://doi.org/10.1002/pro.3740 · OSTI ID:1571696
ORCiD logo [1];  [2];  [3];  [3]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States); New Mexico Consortium, Los Alamos, NM (United States)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States)
  3. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

A procedure for building protein chains into maps produced by single-particle electron cryo-microscopy (cryo-EM) is described. The procedure is similar to the way an experienced structural biologist might analyze a map, focusing first on secondary structure elements such as helices and sheets, then varying the contour level to identify connections between these elements. Since the high density in a map typically follows the main-chain of the protein, the main-chain connection between secondary structure elements can often be identified as the unbranched path between them with the highest minimum value along the path. This chain-tracing procedure is then combined with finding side-chain positions based on the presence of density extending away from the main path of the chain, allowing generation of a Cα model. The Cα model is converted to an all-atom model and is refined against the map. We show that this procedure is as effective as other existing methods for interpretation of cryo-EM maps and that it is considerably faster and produces models with fewer chain breaks than our previous methods that were based on approaches developed for crystallographic maps.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); Phenix Industrial Consortium; National Institutes of Health (NIH); USDOE Office of Science (SC)
Grant/Contract Number:
89233218CNA000001; AC02-05CH11231; AC52-06NA25396; GM063210; AC02‐05CH11231; AC5206NA25396
OSTI ID:
1571696
Alternate ID(s):
OSTI ID: 1571697; OSTI ID: 1615287; OSTI ID: 1630869; OSTI ID: 1869629
Report Number(s):
LA-UR-19-31493; LA-UR-22-22634
Journal Information:
Protein Science, Vol. 29, Issue 1; ISSN 0961-8368
Publisher:
The Protein SocietyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 20 works
Citation information provided by
Web of Science

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Cited By (3)

Advances in Structure Modeling Methods for Cryo-Electron Microscopy Maps journal December 2019
Improvement of cryo-EM maps by density modification. journalarticle January 2020
Improvement of cryo-EM maps by density modification journal August 2020

Figures / Tables (8)


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