Explore projects
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Scoria is a Python package for manipulating 3D molecular data.
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Browser-based, virtual-reality visualization of molecular structures.
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A Blender plugin for importing a molecular dynamics trajectory, to take advantage of Blender's advanced rendering features.
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A program for converting 2D SMILES strings to 3D models.
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IMPORTANT NOTE: The latest version of AutoGrow (v4) can be found at http://git.durrantlab.com/jdurrant/autogrow4
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Easily import VMD scenes into Blender.
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LipidWrapper is a program for creating large-scale, curved membrane models of arbitrary size and geometry.
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Dimorphite-DL is a fast, accurate, accessible, and modular open-source program for enumerating small-molecule ionization states.
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POVME2 (POcket Volume MEasurer 2) scans a molecular-dynamics simulation and extracts druggable protein pockets with unique conformations. Virtual screens that leverage these conformations often identify novel active molecules.
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PCAViz is an open-source Python/JavaScript toolkit for sharing and visualizing molecular dynamics trajectories via a web browser.
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WISP is a trajectory analysis tool that calculates and visualizes allosteric pathways.
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BINANA analyzes docked ligand poses to identify molecular interactions that contribute to binding. Accurately characterizing these interactions allows medicinal chemists to assess whether a predicted ligand merits further study.
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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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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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AutoGrow4 is an open-source program for generating novel drug-like molecules and optimizing preexisting ligands. It uses a genetic algorithm to evolve predicted ligands.
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A JavaScript/WebAssembly library that runs Vina in a browser. The calculations take place on the user's own computer. We have incorporated the Webina library into a new web app that helps users setup their docking runs and analyze the results.
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LigGrep is a program for identifying docked poses that participate in user-specified receptor/ligand interactions. It evaluates each docked pose and outputs the names of the compounds with poses that pass all filters.
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FpocketWeb is a browser app for identifying pockets on protein surfaces where small-molecule ligands (e.g., drugs) might bind. It runs the fpocket executable entirely in a web browser. The pocket-finding calculations occur on the user’s computer rather than a remote server.
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An easy to use, browser-based GUI for running DeepFrag. The goal is to suggest useful chemical changes to a small-molecule ligand that might improve its binding to a protein receptor (i.e., to aid lead optimization).
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DeepFrag is a deep convolutional neural network that guides ligand optimization by extending a ligand with a molecular fragment, such that the resulting extension is also highly complementary to the receptor.
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