Use BindCraft

Features

• One-shot design of functional protein binders with high accuracy, powered by deep learning models specialized for protein–protein interactions.
• Generates 3D structural predictions for designed binders, including residue-level confidence metrics and binding interface maps.
• Interactive visualization of predicted complexes, with tools for analyzing binding orientation, buried surface area, and solvent accessibility.
• Comprehensive downloads of structures, binding scores, and design inputs for downstream molecular modeling or wet-lab validation.
• Supports binder design against monomeric proteins, multimers, and complex targets such as antibodies, nanobodies, and receptors.
• Flexible input modes: design from sequence, structure, or custom templates to accelerate binder discovery.
• Integrates solvent accessible surface area (SASA) calculations to assess binding energetics and interface quality.
• Optimized pipeline for speed and scalability, enabling both rapid prototyping of candidate binders and high-throughput screening workflows.
• Designed for compatibility with modern protein engineering practices, including affinity maturation and stability optimization.
• Uses a commercial friendly implementation without Rosetta.

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.