ESMFold2 Binder Design
Design minibinders and antibody CDRs with ESMFold2 structural gradients and ESMC sequence regularization.
Overview
ESMFold2 Binder Design uses gradient-guided optimization to create minibinders and antibody CDR sequences against a target protein. ESMFold2 structural objectives guide interface formation and compact folding, while ESMC regularizes designed sequences toward plausible protein sequence space. Primary ESMFold2 critics rank candidates and export predicted target-binder complexes, with an optional scaling-critic ensemble for broader checkpoint evaluation.
Run ESMFold2 Binder Design on Neurosnap
The ESMFold2 Binder Design online webserver allows anybody with a Neurosnap account to run and access ESMFold2 Binder Design, 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
- Gradient-guided sequence optimization against a user-provided protein target.
- Supports de novo minibinders and three antibody scFv framework presets.
- Custom scaffolds preserve fixed residues while designing positions marked with #.
- Combines ESMFold2 interface and fold objectives with ESMC sequence regularization.
- Optionally evaluates designs with scaling critics spanning 300M, 600M, and 6B ESMC checkpoints.
- Exports ranked sequences, optimization trajectories, critic scores, and predicted complexes.
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.
| Statistic | Value |
|---|---|
| Credit Usage Rate | loading... |
| Estimated Total Cost | loading... |
| Runtime Mean | loading... |
| Runtime Median | loading... |
| Runtime Standard Deviation | loading... |
| Runtime 90th Percentile | loading... |
| Runtime Longest | loading... |
API Request
Access ESMFold2 Binder Design 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.
Similar Tools
Explore tools with similar features, categories, and use cases.
Citations
Please cite the original work when using ESMFold2 Binder Design in publications or research outputs.
|
Candido, S. et al. Language Modeling Materializes a World Model of Protein Biology. 2026. |
|
Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |