Explore a comprehensive lecture on gRNAde, a geometric deep learning approach for 3D RNA inverse design. Delve into the background of RNA design challenges before examining the innovative gRNAde pipeline and its sophisticated model architecture. Discover various use cases for this technology, including its application in multi-state RNA design. Analyze the model's performance through perplexity analysis and compare its efficiency to traditional methods. Gain insights into how gRNAde achieves higher native sequence recovery rates and faster design times compared to physically based approaches. Conclude with an informative Q&A session to further understand the implications and potential of this cutting-edge RNA design tool in the field of drug discovery and beyond.
Overview
Syllabus
- Intro + Background
- The gRNAde Pipeline
- Model Architecture
- Use Cases
- Perplexity Analysis
- Multi-State RNA Design
- Q&A
Taught by
Valence Labs
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