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Name: Automated Topology Builder (ATB)
Type: Organization
Location: Brisbane, Australia
Blog: atb.uq.edu.au
Name: Automated Topology Builder (ATB)
Type: Organization
Location: Brisbane, Australia
Blog: atb.uq.edu.au
Promotional materials for the Australasian Computational and Simulation Commons
Example job submission script and inputs for an Amber simulation on the Wiener cluster at the University of Queensland
Inputs and results for CNS water refinement of the APP-RCM protein
Supplementary data for "The Automated Topology Builder Version 3.0 (ATB3.0): Prediction of Solvation Free Enthalpies in Water and Hexane."
Public Python API client for the ATB API.
Documentation for ATB
Automated Topology Builder (ATB) molecule data object and output modules (PDB, YML, PICKLE, LGF, GRAPH)
A web-based repository for molecular simulation trajectories based on CKAN
A new structural distance metric that is completely independent of the arbitrary representation of a molecule in a given molecular format.
Wrapper around graph_tool for interacting with molecular graphs.
Predicting chemical equivalence of atoms in molecules using graph automorphisms (nauty) and chemical symmetry constraints.
Various chemistry related helpers.
Example use of ATB CYANA library files.
Generalised description of torsion (dihedral) fragments in a molecule.
Customise the embed view for Discourse
Standardise the atoms names of amino acids
Python module for fitting periodic, scalar, 1-D functions with a sum of trigonometric functions (Fourier series)
Combinatorial, graph-based fragment capping algorithm.
A command line tool for converting GROMOS simulation inputs to AMBER formats
Tests for the gromos2amber topology conversion tool
Templates for Running Simulations on HPC Systems
Analysis of time series average convergence using the two sample Kolmogorov–Smirnov statistic.
Experimental Docker Image for MD Tutorials
Information and documentation for the Molecular Dynamics group at UQ.
OFraMP - The tool for Online Fragment-based Molecule Parameterisation
pmx (https://github.com/dseeliger/pmx) with modifications required by PyThinFilm
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