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Integration of Cryo-EM Model Building Software in Scipion.

M MartínezA Jiménez-MorenoD MaluendaE Ramírez-AportelaR MeleroA CuervoP ConesaL Del CañoY C FonsecaR Sánchez-GarcíaD StrelakJ J ConesaE Fernández-GiménezF de IsidroC O S SorzanoJosé María CarazoR Marabini
Published in: Journal of chemical information and modeling (2020)
Advances in cryo-electron microscopy (cryo-EM) have made it possible to obtain structures of large biological macromolecules at near-atomic resolution. This "resolution revolution" has encouraged the use and development of modeling tools able to produce high-quality atomic models from cryo-EM density maps. Unfortunately, many practical problems appear when combining different packages in the same processing workflow, which make difficult the use of these tools by non-experts and, therefore, reduce their utility. We present here a major extension of the image processing framework Scipion that provides inter-package integration in the model building area and full tracking of the complete workflow, from image processing to structure validation.
Keyphrases
  • electron microscopy
  • deep learning
  • high resolution
  • electronic health record
  • mental health
  • machine learning
  • data analysis