Optimizing RNA design with AI and an Ising machine: Encoding matters
7h agoen
From the article
RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene therapies to genome editing and synthetic biology. However, designing RNA molecules that reliably fold into a desired secondary structure remains a major challenge. Even for relatively short sequences, the number of possible nucleotide combinations grows exponentially, making it difficult to identify optimal candidates. As a result, conventional computational methods often require extensive candidate evaluations, creating a significant bottleneck when experimental validation is both time-consuming and costly.
Continue reading on PhysYou might also wanna read
De novo design of DNA origami with a generative diffusion model
doi.org·12d ago
Designing small molecules targeting a cryptic RNA binding site through base displacement
doi.org·6d ago
AI-Driven Protein Binder Design: Progress and Pitfalls in Evaluation Practices
This article discusses the rapid advancement of de novo protein binder design using AI, including antibodies and nanobodies. While the field
boltz.bio·9d agohttps://doi.org/10.1093/nar/gkag430
doi.org·1mo ago
Neuromorphic Ising Machine on FPGA Solves Complex Optimization Problems Like Protein Folding
The article discusses a Neuromorphic Ising machine implemented on an FPGA board that mimics natural computation to solve complex optimizatio
iisc.ac.in·1mo agoQt45: A small polymerase ribozyme that can synthesize itself
science.org·4mo ago
Comments
Sign in to join the conversation.
No comments yet. Be the first.