agoliaei

agoliaei

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implicit_solvent

Using OpenMM to test how well AMBER + implicit solvent can re-rank docked poses

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westpa2_tutorials

Advanced tutorials for WESTPA 2.0

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AlGDock

Molecular docking with Alchemical Interaction Grids

Language:Jupyter NotebookLicense:MITStargazers:24Issues:0Issues:0

seekr2

Simulation-Enabled Estimation of Kinetic Rates - Version 2

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ABFE_workflow

This is a SnakeMake based workflow for ABFE calculations that can be easily scaled in a high-throughput manner via Slurm for example.

Language:PythonLicense:GPL-3.0Stargazers:39Issues:0Issues:0

pysb-units

PySB add-on providing utilities to add units to models and perform dimensional analysis.

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pytorch-original-transformer

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

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forcebalance

Systematic force field optimization.

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LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

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bgmol

Molecular mechanics systems and simulation data

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bgflow

Boltzmann Generators and Normalizing Flows in PyTorch

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improved-t5

Experiments for efforts to train a new and improved t5

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simple-simulate-complex

Simple protein-ligand complex simulation with OpenMM

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jaxton

100 exercises to learn JAX

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BAT.py

The Binding Affinity Tool (BAT.py) is a fully automated tool for absolute binding free energy calculations on protein-ligand systems, compatible with the AMBER and OpenMM simulation packages.

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sire

Sire Molecular Simulations Framework

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practical_cheminformatics_tutorials

Practical Cheminformatics Tutorials

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dockECR

dockECR: open consensus docking and ranking protocol for virtual screening of small molecules

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deepmd-kit

A deep learning package for many-body potential energy representation and molecular dynamics

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moleculekit

MoleculeKit: Your favorite molecule manipulation kit

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torchmd-cg

Example to fit parameters and run CG simulations using TorchMD and Schnet

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RITA

RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Marks Lab at Harvard.

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papers_for_protein_design_using_DL

List of papers about Proteins Design using Deep Learning

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TDC

Therapeutics Commons: Artificial Intelligence Foundation for Therapeutic Science

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AutoDock-GPU

AutoDock for GPUs and other accelerators

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Jupyter_Dock

Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.

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making-it-rain

Cloud-based molecular simulations for everyone

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Making-it-rain

Cloud-based molecular simulations for everyone

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