ADicksonLab / AGDIFFLinks
Implementation of AGDIFF: Attention-Enhanced Diffusion for Molecular Geometry Prediction
☆15Updated 2 months ago
Alternatives and similar repositories for AGDIFF
Users that are interested in AGDIFF are comparing it to the libraries listed below
Sorting:
- Python package built on NAMD/OpenMM and OpenMMTools to perform binding free energy calculations using the TIES protocol.☆32Updated last year
- Tool to predict water molecules placement and energy in ligand binding sites☆28Updated last week
- Diffusion-based molecule conformer generation☆41Updated last year
- Automated Adaptive Absolute alchemical Free Energy calculator☆105Updated this week
- A tutorials suite for BioSimSpace.☆25Updated 3 months ago
- protein structure prediction with precision☆19Updated last year
- The official repository of Uni-pKa☆66Updated 4 months ago
- This is the first model that can simultaneously predict the RMSD of the ligand docking pose and the binding strength against the target.☆19Updated 7 months ago
- COBY (Coarse Grained System Builder) can be used to create coarse-grained systems in Martini 3☆40Updated this week
- Implicit Solvent Approach Based on Generalised Born and Transferable Graph Neural Networks for Molecular Dynamics Simulations☆50Updated 4 months ago
- Augmented Memory and Beam Enumeration implementation☆25Updated last year
- The Guest HOst Affinity Tool (GHOAT.py) is a fully automated tool for absolute binding free energy calculations on guest-host systems.☆19Updated 3 months ago
- Code and notebook for our paper "Assessing interaction recovery of predicted protein-ligand poses"☆18Updated 10 months ago
- ☆16Updated 6 months ago
- Free Parametrization for Small Molecules☆30Updated last week
- This is a SnakeMake based workflow for ABFE calculations that can be easily scaled in a high-throughput manner via Slurm for example.☆50Updated 5 months ago
- Projecting Molecules into Synthesizable Chemical Spaces (ICML 2024)☆43Updated 3 weeks ago
- ☆22Updated 6 months ago
- A package to identify matched molecular pairs and use them to predict property changes.☆24Updated last year
- ☆50Updated 3 months ago
- ☆30Updated this week
- DeepFrag is a deep convolutional neural network that guides ligand optimization by extending a ligand with a molecular fragment, such tha…☆26Updated 2 months ago
- A geometry-complete diffusion generative model (GCDM) for structure-based drug design (Nature CommsChem)☆19Updated 9 months ago
- Simulation-Enabled Estimation of Kinetic Rates - Version 2☆32Updated last month
- This Code is for Fragment-wise 3D Structure-based Molecular Generation with Reliable Geometry☆27Updated 5 months ago
- ☆16Updated last year
- ☆28Updated last year
- ☆40Updated 2 years ago
- Reagent prediction with Molecular Transformer. Improvement of data for reaction product prediction in a self-supervised fashion.☆27Updated 10 months ago
- ☆25Updated last year