2021
DOI: 10.1107/s2059798321001765
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Protein identification from electron cryomicroscopy maps by automated model building and side-chain matching

Abstract: Using single-particle electron cryo-microscopy (cryo-EM), it is possible to obtain multiple reconstructions showing the 3D structures of proteins imaged as a mixture. Here, it is shown that automatic map interpretation based on such reconstructions can be used to create atomic models of proteins as well as to match the proteins to the correct sequences and thereby to identify them. This procedure was tested using two proteins previously identified from a mixture at resolutions of 3.2 Å, as well as using 91 dep… Show more

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Cited by 11 publications
(11 citation statements)
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“…Polyalanine models were built manually in COOT [ 7 ] in both flipped and unflipped maps in the forward and reverse directions, resulting in four polyalanine models. Phenix.sequence_from_map [ 44 ] was run with each of the maps and corresponding polyalanine models against all annotated sequences (8172 sequences) from human brain tissue. The LLG scores from phenix.sequence_from_map were plotted as a function of the sequence id and top-ranking sequence was identified as major prion protein (Uniprot ID: P04156), residues 80–141.…”
Section: Methodsmentioning
confidence: 99%
“…Polyalanine models were built manually in COOT [ 7 ] in both flipped and unflipped maps in the forward and reverse directions, resulting in four polyalanine models. Phenix.sequence_from_map [ 44 ] was run with each of the maps and corresponding polyalanine models against all annotated sequences (8172 sequences) from human brain tissue. The LLG scores from phenix.sequence_from_map were plotted as a function of the sequence id and top-ranking sequence was identified as major prion protein (Uniprot ID: P04156), residues 80–141.…”
Section: Methodsmentioning
confidence: 99%
“…It also requires manual curation and selection of the most reliable fragments, presumably due to the fact that by default the method strongly penalizes gaps in BLAST alignments and requires reliable continuous main-chain traces on input. In a recent update (published when our article was in preparation) CryoID authors modified their protocol, which instead of BLAST can also use a dynamic programming sequencealignment procedure that accounts for tracing errors in the models (Terwilliger et al, 2021). Although the alignments are obtained by default using a simplified six-letter sequence, they are scored using individual residue probabilities derived from a rotamer-template-matching procedure implemented in phenix.sequence_from_map.…”
Section: Introductionmentioning
confidence: 99%
“…Using the data truncated to 2.70 Å, 8 possible selenium sites were located and refined with the Autosol program in the PHENIX package (36), resulting in an overall figure of merit of 0.31. The resulting electron density map was used to construct an initial model with the AutoBuild program in PHENIX (37).…”
Section: Methodsmentioning
confidence: 99%
“…The structures of Sso2081:cA 4 and Sso2081 S11A : A 4 >P complexes were solved by molecular replacement with the program Phaser-MR of PHENIX (38), using the structure of apo Sso2081 as template. The resulting solution was used to construct the initial model with the program AutoBuild in PHENIX (37). Iterative model building and refinement were carried out with COOT (39), PHENIX (36) and REFMAC5 (40).…”
Section: Methodsmentioning
confidence: 99%