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Oxford University Press, Bioinformatics, 10(34), p. 1784-1785, 2018

DOI: 10.1093/bioinformatics/bty021

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PyChimera: use UCSF Chimera modules in any Python 2.7 project

Journal article published in 2018 by Jaime Rodríguez-Guerra Pedregal ORCID, Jean-Didier Maréchal
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

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Data provided by SHERPA/RoMEO

Abstract

Abstract Motivation UCSF Chimera is a powerful visualization tool remarkably present in the computational chemistry and structural biology communities. Built on a C++ core wrapped under a Python 2.7 environment, one could expect to easily import UCSF Chimera’s arsenal of resources in custom scripts or software projects. Nonetheless, this is not readily possible if the script is not executed within UCSF Chimera due to the isolation of the platform. UCSF ChimeraX, successor to the original Chimera, partially solves the problem but yet major upgrades need to be undergone so that this updated version can offer all UCSF Chimera features. Results PyChimera has been developed to overcome these limitations and provide access to the UCSF Chimera codebase from any Python 2.7 interpreter, including interactive programming with tools like IPython and Jupyter Notebooks, making it easier to use with additional third-party software. Availability and implementation PyChimera is LGPL-licensed and available at https://github.com/insilichem/pychimera. Supplementary information Supplementary data are available at Bioinformatics online.