Treffer: MDAnalysis: A Python Package for the Rapid Analysis of Molecular Dynamics Simulations

Title:
MDAnalysis: A Python Package for the Rapid Analysis of Molecular Dynamics Simulations
Contributors:
Groningen Biomolecular Sciences and Biotechnology Institute (GBB), University of Groningen [Groningen], Department of Biochemistry, University of Oxford, University of Oxford, Universidade Nova de Lisboa = NOVA University Lisbon (NOVA), National Institutes of Health [Bethesda, MD, USA] (NIH), Arizona State University [Tempe] (ASU), Génie Enzymatique et Cellulaire. Reconnaissance Moléculaire et Catalyse - UMR CNRS 7025 (GEC UPJV), Université de Technologie de Compiègne (UTC)-Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS)
Source:
Python in Science Conference. :98-105
Publisher Information:
CCSD, 2016.
Publication Year:
2016
Collection:
collection:CNRS
collection:UNIV-PICARDIE
collection:UNIV-COMPIEGNE
collection:GEC
collection:GEC-UPJV
collection:U-PICARDIE
collection:ALLIANCE-SU
Subject Geographic:
Original Identifier:
HAL: hal-04939830
Document Type:
Konferenz conferenceObject<br />Conference papers
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.25080/Majora-629e541a-00e
DOI:
10.25080/Majora-629e541a-00e
Accession Number:
edshal.hal.04939830v1
Database:
HAL

Weitere Informationen

MDAnalysis (http://mdanalysis.org) is a library for structural and temporal analysis of molecular dynamics (MD) simulation trajectories and individual protein structures. MD simulations of biological molecules have become an important tool to elucidate the relationship between molecular structure and physiological function. Simulations are performed with highly optimized software packages on HPC resources but most codes generate output trajectories in their own formats so that the development of new trajectory analysis algorithms is confined to specific user communities and widespread adoption and further development is delayed.MDAnalysis addresses this problem by abstracting access to the raw simulation data and presenting a uniform object-oriented Python interface to the user. It thus enables users to rapidly write code that is portable and immediately usable in virtually all biomolecular simulation communities. The user interface and modular design work equally well in complex scripted work flows, as foundations for other packages, and for interactive and rapid prototyping work in IPython / Jupyter notebooks, especially together with molecular visualization provided by nglview and time series analysis with pandas. MDAnalysis is written in Python and Cython and uses NumPy arrays for easy interoperability with the wider scientific Python ecosystem. It is widely used and forms the foundation for more specialized biomolecular simulation tools. MDAnalysis is available under the GNU General Public License v2.