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Showing 5 open source projects for "latest linux"
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GNNPCSAFT
Smart Thermodynamic Modeling with Graph Neural Networks
...In this app, the estimated pure-component parameters can be used to calculate thermodynamic properties and compare them with experimental data from the ThermoML Archive. To install the GNNPCSAFT app, download the appropriate latest release from the Files, unzip the file, and run the executable for your operating system (Linux or Windows). More info on github repository. -
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binana
BINANA (BINding ANAlyzer) is a python-implemented algorithm for analyz
BINANA (BINding ANAlyzer) is a python-implemented algorithm for analyzing ligand binding. The program identifies key binding characteristics like hydrogen bonds, salt bridges, and pi interactions. As input, BINANA accepts receptor and ligand files in the PDBQT format. PDBQT files can be generated from the more common PDB file format using the free converter provided with AutoDockTools. As output, BINANA describes ligand binding. NOTE: The latest version of BINANA is now hosted at... -
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LipidWrapper
Create lipid-bilayer models of arbitrary geometry.
LATEST VERSION NOW LOCATED AT http://git.durrantlab.com/jdurrant/lipidwrapper As ever larger and more complex biological systems are modeled in silico, approximating physiological lipid bilayers with simple planar models becomes increasingly unrealistic. When building large-scale models of whole subcellular environments, models of lipid membranes with carefully considered, biologically relevant curvature are essential. LipidWrapper, written by Jacob Durrant in the lab of Rommie E. Amaro,... -
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WISP
Weighted Implementation of Suboptimal Paths (WISP)
UPDATE: LATEST VERSION AT http://git.durrantlab.com//jdurrant/wisp Allostery can occur by way of subtle cooperation among protein residues (e.g., amino acids) even in the absence of large conformational shifts. Dynamical network analysis has been used to model this cooperation, helping to computationally explain how binding to an allosteric site can impact the behavior of a primary site often many angstroms away. Traditionally, computational efforts have focused on the most optimal path... -
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UPDATE: The latest version of NNScore1 can be found here: http://git.durrantlab.com/jdurrant/nnscore1 The latest version of NNScore2 can be found here: http://git.durrantlab.com/jdurrant/nnscore2 ================ NNScore is a scoring function for characterizing the potency of receptor-ligand complexes. It is based on neural networks, computational models that simulate the microscopic organization of the brain.
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