TEMPy2: a Python library with improved 3D electron microscopy density-fitting and validation workflows

التفاصيل البيبلوغرافية
العنوان: TEMPy2: a Python library with improved 3D electron microscopy density-fitting and validation workflows
المؤلفون: Agnel Praveen Joseph, Sony Malhotra, Harpal Sahota, Aaron Sweeney, Daven Vasishtan, Tristan Cragnolini, Maya Topf
المصدر: Acta Crystallographica. Section D, Structural Biology
بيانات النشر: International Union of Crystallography, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Models, Molecular, 3d electron microscopy, Macromolecular Substances, Computer science, Molecular Conformation, Model fitting, bcs, Workflow, Computational science, 03 medical and health sciences, 0302 clinical medicine, Structural Biology, Image Processing, Computer-Assisted, Three dimensional electron microscopy, macromolecular complexes, Biological sciences, 030304 developmental biology, computer.programming_language, validation, 0303 health sciences, model assessment, Cryoelectron Microscopy, TEMPy2, Python (programming language), fitting scores, Macromolecular Complexes, three-dimensional electron microscopy, Density fitting, model fitting, Ccp4, computer, Software, 030217 neurology & neurosurgery
الوصف: TEMPy2, an update of the TEMPy package to process, optimize and assess cryo-EM maps and the structures fitted to them, is presented.
Structural determination of molecular complexes by cryo-EM requires large, often complex processing of the image data that are initially obtained. Here, TEMPy2, 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.
وصف الملف: application/pdf
اللغة: English
تدمد: 2059-7983
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bf3b65f4a5f3eafbec9bc2de09e10ae
https://eprints.bbk.ac.uk/id/eprint/42601/1/42601.pdf
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....9bf3b65f4a5f3eafbec9bc2de09e10ae
قاعدة البيانات: OpenAIRE