Use ParaSurf

Features

• Predicts antibody-binding sites across the entire Fab region, including CDR loops and framework residues, using balanced sampling to mitigate class imbalance.
• Integrates geometric, chemical, and electrostatic surface features (AMBER/CHARMM force fields) for comprehensive interaction modeling.
• Employs a hybrid 3D ResNet-Transformer architecture to capture multi-scale spatial patterns from local atomic environments to global structural contexts.
• Operates antigen-agnostically without requiring partner protein data, and provides open-source code for reproducibility and therapeutic development.
• Achieves state-of-the-art performance on PECAN, Paragraph-expanded, and MIPE benchmarks (AUC-ROC score of 0.973 and AUC-PR score of 0.823).

Statistics

Neurosnap periodically calculates runtime statistics based on job execution data. These estimates provide a general guideline for how long your job may take, but actual runtimes can vary significantly depending on factors like input size or settings used.