Cryo-EM model validation recommendations based on outcomes of the 2019 EMDataResource challenge

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 devel...

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Detalles Bibliográficos
Autores principales: Lawson, Catherine L., Kryshtafovych, Andriy, Adams, Paul D., Afonine, Pavel V., Baker, Matthew L., Barad, Benjamin A., Bond, Paul, Burnley, Tom, Cao, Renzhi, Cheng, Jianlin, Chojnowski, Grzegorz, Cowtan, Kevin, Dill, Ken A., DiMaio, Frank, Farrell, Daniel P., Fraser, James S., Herzik, Mark A., Hoh, Soon Wen, Hou, Jie, Hung, Li-Wei, Igaev, Maxim, Joseph, Agnel P., Kihara, Daisuke, Kumar, Dilip, Mittal, Sumit, Monastyrskyy, Bohdan, Olek, Mateusz, Palmer, Colin M., Patwardhan, Ardan, Perez, Alberto, Pfab, Jonas, Pintilie, Grigore D., Richardson, Jane S., Rosenthal, Peter B., Sarkar, Daipayan, Schäfer, Luisa U., Schmid, Michael F., Schröder, Gunnar F., Shekhar, Mrinal, Si, Dong, Singharoy, Abishek, Terashi, Genki, Terwilliger, Thomas C., Vaiana, Andrea, Wang, Liguo, Wang, Zhe, Wankowicz, Stephanie A., Williams, Christopher J., Winn, Martyn, Wu, Tianqi, Yu, Xiaodi, Zhang, Kaiming, Berman, Helen M., Chiu, Wah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2021
Materias:
Analysis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864804/
https://www.ncbi.nlm.nih.gov/pubmed/33542514
http://dx.doi.org/10.1038/s41592-020-01051-w

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