Publications by authors named "Aaron Wenteler"
Article Synopsis
- Artificial intelligence (AI) can significantly enhance drug discovery processes by effectively integrating various biological data, which helps in predicting drug target properties and understanding disease mechanisms.
- There are ongoing challenges in using AI for drug target discovery, such as addressing data biases, ensuring model interpretability, and validating predicted targets.
- This review highlights recent advancements in AI applications for drug target discovery and discusses future possibilities, aiming to improve the development of new and safer medications.
The challenge of systematically modifying and optimizing regulatory elements for precise gene expression control is central to modern genomics and synthetic biology. Advancements in generative AI have paved the way for designing synthetic sequences with the aim of safely and accurately modulating gene expression. We leverage diffusion models to design context-specific DNA regulatory sequences, which hold significant potential toward enabling novel therapeutic applications requiring precise modulation of gene expression.
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