RhoDesign RNA Inverse Folding
Generates RNA sequences with precise structural fidelity and functional diversity for targeted applications
Overview
RhoDesign is a deep learning platform for the generative design of RNA sequences informed by 3D structural data. By leveraging a combination of geometric vector perceptrons (GVPs) to encode RNA tertiary structures and transformer architectures to process structural and sequence relationships, it generates RNA sequences predicted to match specific structural backbones. The platform has been successfully applied to design fluorescent RNA aptamers, which demonstrated structural fidelity and novel sequence diversity while maintaining functionality. Benchmark evaluations highlighted its superior performance compared to other models, making it a powerful tool for resource-efficient and targeted RNA design.
Run RhoDesign RNA Inverse Folding on Neurosnap
The RhoDesign RNA Inverse Folding online webserver allows anybody with a Neurosnap account to run and access RhoDesign RNA Inverse Folding, 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
- Generates RNA sequences matching specified 3D structural backbones.
- Encodes tertiary structural features using geometric vector perceptrons.
- Utilizes transformer architectures to capture long-range structural dependencies.
- Achieved superior performance in benchmarks for structural fidelity and sequence recovery.
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 RhoDesign RNA Inverse Folding 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 RhoDesign RNA Inverse Folding in publications or research outputs.
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Wong F, He D, Krishnan A, Hong L, Wang AZ, Wang J, Hu Z, Omori S, Li A, Rao J, Yu Q. Deep generative design of RNA aptamers using structural predictions. Nature Computational Science. 2024 Nov 6:1-1. |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |