TY  - JOUR
AU  - Reggiano, Gabriella
AU  - Lugmayr, Wolfgang
AU  - Farrell, Daniel
AU  - Marlovits, Thomas
AU  - DiMaio, Frank
TI  - Residue-level error detection in cryoelectron microscopy models
JO  - Structure
VL  - 31
IS  - 7
SN  - 0969-2126
CY  - Cambridge, Mass.
PB  - Cell Press
M1  - PUBDB-2023-07781
SP  - 860-869.e4
PY  - 2023
AB  - Building accurate protein models into moderate resolution (3–5 Å) cryoelectron microscopy (cryo-EM) maps is challenging and error prone. We have developed MEDIC (Model Error Detection in Cryo-EM), a robust statistical model that identifies local backbone errors in protein structures built into cryo-EM maps by combining local fit-to-density with deep-learning-derived structural information. MEDIC is validated on a set of 28 structures that were subsequently solved to higher resolutions, where we identify the differences between low- and high-resolution structures with 68
LB  - PUB:(DE-HGF)16
C6  - pmid:37253357
UR  - <Go to ISI:>//WOS:001042128600001
DO  - DOI:10.1016/j.str.2023.05.002
UR  - https://bib-pubdb1.desy.de/record/600207
ER  -