Supported Applications

Description

is a deep learning-based tool for designing protein and peptide binders against target proteins or small molecules. The software uses diffusion models to generate diverse binder candidates, followed by inverse folding, structure prediction with Boltz-2, and comprehensive filtering to select high-quality designs. It supports multiple protocols including protein-anything, peptide-anything, nanobody-anything, and protein-small_molecule design, with automated pipelines that can generate thousands of candidates and rank them based on binding affinity and structural quality metrics.

Usage

Installation