Skill UI

A comprehensive guide to leveraging Stable Diffusion models via the HuggingFace Diffusers library. This skill facilitates state-of-the-art image creation, including Text-to-Image generation from prompts, Image-to-Image translation, inpainting, outpainting, and advanced workflow building. Supports various models like SDXL and SD 3.0, ideal for professional creative and computational vision tasks.

DiffDock uses diffusion-based deep learning to predict protein-ligand binding poses, confidence, and batch virtual screening workflows for structure-based drug design.

DiffDock is a state-of-the-art deep learning tool utilizing diffusion models to predict the precise 3D binding poses of small molecule ligands to protein targets. It is essential for structure-based drug design, allowing users to perform virtual screening and identify potential drug candidates. The system processes both PDB structures and SMILES inputs, providing confidence scores to assess prediction reliability. Note: This tool predicts binding pose and confidence, not binding affinity.