Use NeuroBind

Features

• Supports the design of antibodies, nanobodies, scFvs, and peptides against arbitrary protein or complex targets.
• Automatically performs in silico affinity maturation, achieving predicted affinities in the -15 to -20 kcal/mol range.
• Allows programmable design for properties such as high solubility, low immunogenicity, and enhanced thermal/solvent stability.
• Employs a hybrid AI framework combining deep learning with evolutionary constraints and physics-based simulations.
• Outperforms pure ML-based approaches in both predicted binding affinity and developability.
• Produces diverse candidate binders that adhere to biologically realistic structural and functional constraints.

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.

Video Tutorial

The following youtube video describes how to use NeuroBind using Neurosnap's online webserver. If you have any questions or want to suggest improvements for future tutorials please contact us here.