TY  - JOUR
AU  - Lawson, Catherine L.
AU  - Kryshtafovych, Andriy
AU  - Adams, Paul D.
AU  - Afonine, Pavel V.
AU  - Baker, Matthew L.
AU  - Barad, Benjamin A.
AU  - Bond, Paul
AU  - Burnley, Tom
AU  - Cao, Renzhi
AU  - Cheng, Jianlin
AU  - Chojnowski, Grzegorz
AU  - Cowtan, Kevin
AU  - Dill, Ken A.
AU  - DiMaio, Frank
AU  - Farrell, Daniel P.
AU  - Fraser, James S.
AU  - Herzik, Mark A.
AU  - Hoh, Soon Wen
AU  - Hou, Jie
AU  - Hung, Li-Wei
AU  - Igaev, Maxim
AU  - Joseph, Agnel P.
AU  - Kihara, Daisuke
AU  - Kumar, Dilip
AU  - Mittal, Sumit
AU  - Monastyrskyy, Bohdan
AU  - Olek, Mateusz
AU  - Palmer, Colin M.
AU  - Patwardhan, Ardan
AU  - Perez, Alberto
AU  - Pfab, Jonas
AU  - Pintilie, Grigore D.
AU  - Richardson, Jane S.
AU  - Rosenthal, Peter B.
AU  - Sarkar, Daipayan
AU  - Schäfer, Luisa U.
AU  - Schmid, Michael F.
AU  - Schröder, Gunnar F.
AU  - Shekhar, Mrinal
AU  - Si, Dong
AU  - Singharoy, Abishek
AU  - Terashi, Genki
AU  - Terwilliger, Thomas C.
AU  - Vaiana, Andrea
AU  - Wang, Liguo
AU  - Wang, Zhe
AU  - Wankowicz, Stephanie A.
AU  - Williams, Christopher J.
AU  - Winn, Martyn
AU  - Wu, Tianqi
AU  - Yu, Xiaodi
AU  - Zhang, Kaiming
AU  - Berman, Helen M.
AU  - Chiu, Wah
TI  - Cryo-EM model validation recommendations based on outcomes of the 2019 EMDataResource challenge
JO  - Nature methods
VL  - 18
IS  - 2
SN  - 1548-7091
CY  - London [u.a.]
PB  - Nature Publishing Group
M1  - FZJ-2021-05903
SP  - 156 - 164
PY  - 2021
AB  - This paper describes outcomes of the 2019 Cryo-EM Model Challenge. The goals were to (1) assess the quality of models that can be produced from cryogenic electron microscopy (cryo-EM) maps using current modeling software, (2) evaluate reproducibility of modeling results from different software developers and users and (3) compare performance of current metrics used for model evaluation, particularly Fit-to-Map metrics, with focus on near-atomic resolution. Our findings demonstrate the relatively high accuracy and reproducibility of cryo-EM models derived by 13 participating teams from four benchmark maps, including three forming a resolution series (1.8 to 3.1 Å). The results permit specific recommendations to be made about validating near-atomic cryo-EM structures both in the context of individual experiments and structure data archives such as the Protein Data Bank. We recommend the adoption of multiple scoring parameters to provide full and objective annotation and assessment of the model, reflective of the observed cryo-EM map density.
LB  - PUB:(DE-HGF)16
C6  - pmid:33542514
UR  - <Go to ISI:>//WOS:000614686600012
DO  - DOI:10.1038/s41592-020-01051-w
UR  - https://juser.fz-juelich.de/record/904333
ER  -