OpenMM is a toolkit for molecular simulation using high performance GPU code.
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Updated
Jul 27, 2026 - C++
OpenMM is a toolkit for molecular simulation using high performance GPU code.
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Official Github for "PharmacoNet: deep learning-guided pharmacophore modeling for ultra-large-scale virtual screening" (Chemical Science)
[NeurIPS2025 Spotlight 🔥 ] Official implementation of "UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection"
A Euclidean diffusion model for structure-based drug design.
Knowledge-Guided Diffusion Model for 3D Ligand-Pharmacophore Mapping
End-To-End Molecular Dynamics (MD) Engine using PyTorch
Codes for our paper "Programming Biomolecular Interactions with All-Atom Generative Model"
Code for running RFdiffusion
Differentiable, Hardware Accelerated, Molecular Dynamics
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
Comprehensive library for fast, GPU accelerated molecular gridding for deep learning workflows
GPU-accelerated protein-ligand docking with automated pocket detection, exploring through multi-pocket conditioning. Official Implementation of PocketVina
Public/backup repository of the GROMACS molecular simulation toolkit. Please do not mine the metadata blindly; we use https://gitlab.com/gromacs/gromacs for code review and issue tracking.
Toward High-Accuracy Open-Source Biomolecular Structure Prediction.
AutoDock for GPUs and other accelerators
Code for the DISCO model: General Multimodal Protein Design Enables DNA-Encoding of Chemistry
[PNAS 2025] Code of "Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design".
Deep Site and Docking Pose (DSDP) is a blind docking strategy accelerated by GPUs, developed by Gao Group. For the site prediction part, several modifications are introduced to PUResNet program. The pose sampling part is similar as AutoDock Vina combined with a number of modifications.
A deep learning framework for molecular docking
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