A deep learning package for many-body potential energy representation and molecular dynamics
- deep-learning
- molecular-dynamics
- deepmd
- lammps
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A deep learning package for many-body potential energy representation and molecular dynamics
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Biological foundation modeling from molecular to genome scale
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
The repository host gives no description.
This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data
Deep Reinforcement Learning for de-novo Drug Design
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Associated Repository for "Translation between Molecules and Natural Language"
LLM for Drug Editing, ICLR 2024
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).