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Sire: An interoperability engine for prototyping algorithms and exchanging information between molecular simulation programs

delete2024-05-30
delete6
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OA
AI
C
Christopher Woods
L
Lester O. Hedges
A
Adrian J. Mulholland
M
Maturos Malaisree
P
Paolo Tosco
H
Hannes H. Loeffler
M
Miroslav Suruzhon
M
Matthew Burman
S
Sofia Bariami
G
Gaetano Calabrò
F
Finlay Clark
A
Antonia S. J. S. Mey
J
Julien Michel *
DOI:10.1063/5.0200458delete
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摘要

摘要

En 中文
Sire is a Python/C++ library that is used both to prototype new algorithms and as an interoperability engine for exchanging information between molecular simulation programs. It provides a collection of file parsers and information converters that together make it easier to combine and leverage the functionality of many other programs and libraries. This empowers researchers to use sire to write a single script that can, for example, load a molecule from a PDBx/mmCIF file via Gemmi, perform SMARTS searches via RDKit, parameterize molecules using BioSimSpace, run GPU-accelerated molecular dynamics via OpenMM, and then display the resulting dynamics trajectory in a NGLView Jupyter notebook 3D molecular viewer. This functionality is built on by BioSimSpace, which uses sire's molecular information engine to interconvert with programs such as GROMACS, NAMD, Amber, and AmberTools for automated molecular parameterization and the running of molecular dynamics, metadynamics, and alchemical free energy workflows. Sire comes complete with a powerful molecular information search engine, plus trajectory loading and editing, analysis, and energy evaluation engines. This, when combined with an in-built computer algebra system, gives substantial flexibility to researchers to load, search for, edit, and combine molecular information from multiple sources and use that to drive novel algorithms by combining functionality from other programs. Sire is open source (GPL3) and is available via conda and at a free Jupyter notebook server at https://try.openbiosim.org. Sire is supported by the not-for-profit OpenBioSim community interest company.
Keyword:
BLINDED PREDICTIONS
BINDING-ENERGIES
DYNAMICS
DISCOVERY
FIELD

期刊

Journal of Chemical Physics 封面图
Journal of Chemical Physics
IF:
3.1
论文数:
7.2W
被引数:
23.2W

机构

A
AstraZeneca
学者数:
2.1W
论文数: 1.1W
被引数: 36
N
Novartis
学者数:
1.8W
论文数: 9.5K
被引数: 2.9K
U
University of Bristol
学者数:
3.1W
论文数: 3.0W
被引数: 5.3W
U
University of Edinburgh
学者数:
5.2W
论文数: 4.6W
被引数: 71
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