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How to use Bootstrap with Flask - Free Sample | AppSeed
This is a SnakeMake based workflow for ABFE calculations that can be easily scaled in a high-throughput manner via Slurm for example.
List of Molecular and Material design using Generative AI and Deep Learning
MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
Calculation of interatomic interactions in molecular structures
A brief tutorial explaining how to use Psi4's Symmetry-Adapted Perturbation Theory (SAPT) code to analyze intermolecular interactions.
Combining Psi4 and Numpy for education and development.
oxpig / ImmuneBuilder
Forked from brennanaba/ImmuneBuilderPredict the structure of immune receptor proteins
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Message Passing Neural Networks for Molecule Property Prediction
oxpig / CoPriNet
Forked from rsanchezgarc/CoPriNetDeep learning for compound price prediction
BioPhi is an open-source antibody design platform. It features methods for automated antibody humanization (Sapiens), humanness evaluation (OASis) and an interface for computer-assisted antibody se…
✌🏻 Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures (NeurIPS 2022)
A comprehensive toolkit for predicting free energies
Explainer for black box models that predict molecule properties
A curated list of Cheminformatics libraries and software.
Uni-Dock: a GPU-accelerated molecular docking program
A generative model for programmable protein design
Listing of papers about machine learning for proteins.
OpenMM-based framework for absolute and relative binding free energy calculations with the Alchemical Transfer Method
Perform stability tests for Neural Network Potentials
SchNetPack - Deep Neural Networks for Atomistic Systems