Use RhoDesign RNA Inverse Folding

Official Neurosnap webserver for accessing RhoDesign RNA Inverse Folding online.

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.

Neurosnap Overview

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 service and privacy policy.

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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.

Job Note

Provide a name or description for your job to help you organize and track its results. This input is solely for organizational purposes and does not impact the outcome of the job.

Configuration & Options

Service Inputs

The input RNA structure to predict the nucleic acid sequence of.

The temperature parameter for sampling: high temperature will cause high diversity of predicted sequences; to ensure the highest recovery rate, it is recommended to set it as 1e-5, and to get more diverse sequences, it is recommended to set it as 1.

The number of output sequences to generate.

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