TEMPy2: a Python library with improved 3D electron microscopy density‐fitting and validation workflows. Issue 1 (17th December 2020)

• Record Type: Journal Article
• Authors: Cragnolini, Tristan; Sahota, Harpal; Joseph, Agnel Praveen; Sweeney, Aaron; Malhotra, Sony; Vasishtan, Daven; Topf, Maya
• Is Part Of: Acta crystallographica. Volume 77:Issue 1(2021)
• Page Start: 41
• Page End: 47
• Publication Date: 2020-12-17
• Subjects: three‐dimensional electron microscopy -- model fitting -- validation -- fitting scores -- model assessment -- macromolecular complexes -- TEMPy2; X-ray crystallography -- Periodicals; Crystallography -- Periodicals; Molecular biology -- Periodicals; Molecular structure -- Periodicals; Biomolecules -- Structure -- Periodicals; Cytology -- Periodicals; Biomolecules -- Structure; Crystallography; Cytology; Molecular biology; Molecular structure; X-ray crystallography; Periodicals; 548
• DOI: 10.1107/S2059798320014928
• Languages: English
• ISSNs: 2059-7983

Abstract

Abstract : TEMPy 2, an update of the TEMPy package to process, optimize and assess cryo‐EM maps and the structures fitted to them, is presented. Abstract : Structural determination of molecular complexes by cryo‐EM requires large, often complex processing of the image data that are initially obtained. Here, TEMPy 2, an update of the TEMPy package to process, optimize and assess cryo‐EM maps and the structures fitted to them, is described. New optimization routines, comprehensive automated checks and workflows to perform these tasks are described.