RFantibody
Generative antibody/nanobody design with fine-tuned RFdiffusion
Overview
Generate de novo antibodies and nanobodies (VHHs) with atomic accuracy using RFantibody. This pipeline targets user-defined epitopes by leveraging fine-tuned RFdiffusion for backbone and docking prediction, ProteinMPNN for sequence optimization, and a specialized RoseTTAFold2 oracle to ensure structural validity and specificity.
Run RFantibody on Neurosnap
The RFantibody online webserver allows anybody with a Neurosnap account to run and access RFantibody, 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
- Epitope-guided de novo CDR backbone generation and docking via fine-tuned RFdiffusion.
- ProteinMPNN-based sequence optimization tailored to the designed backbones.
- RoseTTAFold2 antibody oracle for structural self-consistency and off-target filtering.
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 RFantibody 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 RFantibody in publications or research outputs.
|
Bennett NR, Watson JL, Ragotte RJ, Borst AJ, See DL, Weidle C, Biswas R, Shrock EL, Leung PJ, Huang B, Goreshnik I. Atomically accurate de novo design of single-domain antibodies. biorxiv. 2024 Mar 18. |
|
Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |