DiffSBDD VS DiffLinker

Compare DiffSBDD vs DiffLinker and see what are their differences.

DiffSBDD

A Euclidean diffusion model for structure-based drug design. (by arneschneuing)
ddpm drug-design equivariance generative-model graph-neural-networks Machine Learning
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DiffLinker

DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design (by igashov)
diffusion-models drug-design equivariance fragment-based-drug-discovery Machine Learning molecular-linker
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DiffSBDD DiffLinker
1 1
290 247
- -
4.9 5.3
8 months ago 17 days ago
Python Python
MIT License MIT License
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DiffSBDD

Posts with mentions or reviews of DiffSBDD. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-04.
  • Learn diffusion models with Hugging Face course 🧨
    2 projects | /r/learnmachinelearning | 4 Nov 2022
    I'm referring to recent works like DiffLinker (https://github.com/igashov/DiffLinker) and DiffSBDD (https://github.com/arneschneuing/diffsbdd) which use diffusion to generate new ligands or fragments of molecules. If there's enough interest, we could find space to include these exciting topics in the course :)

DiffLinker

Posts with mentions or reviews of DiffLinker. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-04.
  • Learn diffusion models with Hugging Face course 🧨
    2 projects | /r/learnmachinelearning | 4 Nov 2022
    I'm referring to recent works like DiffLinker (https://github.com/igashov/DiffLinker) and DiffSBDD (https://github.com/arneschneuing/diffsbdd) which use diffusion to generate new ligands or fragments of molecules. If there's enough interest, we could find space to include these exciting topics in the course :)

What are some alternatives?

When comparing DiffSBDD and DiffLinker you can also consider the following projects:

OpenChem - OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

datamol - Molecular Processing Made Easy.

minimal-text-diffusion - A minimal implementation of diffusion models for text generation

EquiBind - EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

DDPM_inversion - Official pytorch implementation of the paper: "An Edit Friendly DDPM Noise Space: Inversion and Manipulations". CVPR 2024.

ProLIF - Interaction Fingerprints for protein-ligand complexes and more

DenoisingDiffusionProbabilityModel-ddpm- - This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

Cozy-Auto-Texture - A Blender add-on for generating free textures using the Stable Diffusion AI text to image model.

anomaly-detection-resources - Anomaly detection related books, papers, videos, and toolboxes

e2cnn - E(2)-Equivariant CNNs Library for Pytorch

DiffSBDD vs OpenChem DiffLinker vs datamol DiffSBDD vs minimal-text-diffusion DiffLinker vs EquiBind DiffSBDD vs DDPM_inversion DiffLinker vs ProLIF DiffSBDD vs DenoisingDiffusionProbabilityModel-ddpm- DiffLinker vs Cozy-Auto-Texture DiffSBDD vs anomaly-detection-resources DiffLinker vs e2cnn DiffSBDD vs EquiBind