NeuroBind
Design antibodies, nanobodies, scFvs, and peptides with high affinity and low immunogenicity.
Overview
The most advanced tool for designing high-affinity binders like antibodies, nanobodies, scFvs, and peptides against any target. NeuroBind combines AI, physics, and evolutionary principles for best-in-class performance.
Run NeuroBind on Neurosnap
The NeuroBind online webserver allows anybody with a Neurosnap account to run and access NeuroBind, no downloads required. Information submitted through this webserver is kept confidential and never sold to third parties as detailed by our strong Terms of Use and Privacy Policy.
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.
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API Request
Access NeuroBind using the Neurosnap API by sending a request using any programming language with HTTP support. To safely generate an API key, visit the API tab of your overview page.
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Citations
Please cite the original work when using NeuroBind in publications or research outputs.
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Citation for NeuroBind coming very soon! |
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Amani, K. Prot2Prop: structure-aware fine-tuning of protein language models for joint prediction of multiple developability properties from protein inputs. bioRxiv (2026). https://www.biorxiv.org/content/10.64898/2026.06.28.735009v1 |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |
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.