Highly accurate protein structure prediction with AlphaFold (Alphafold)Product24/100 via “ligand binding site prediction and pocket characterization”
* 📰 2022: [ChatGPT: Optimizing Language Models For Dialogue (ChatGPT)](https://openai.com/blog/chatgpt/)
Unique: Combines geometric pocket detection (concavity analysis, volume calculation) with machine learning scoring trained on known drug-target complexes, enabling both pocket identification and druggability assessment in a single step. Residue-level hydrophobicity and charge analysis refines pocket characterization.
More comprehensive than simple concavity-based methods (e.g., POCASA); integrates druggability scoring to prioritize pockets likely to bind small molecules, reducing false positives from non-functional cavities.