GRAPE-LM (generator of RNA aptamers powered by activity-guided evolution and language model) is a generative AI framework that enables the one-round generation of short RNA binders. When guided by CRISPR–Cas-based intracellular screening, GRAPE-LM outperforms traditional multi-round methods for aptamer evolution.
GRAPE-LM is a generative AI framework that enables the one-round generation of short RNA binders. When guided by CRISPR–Cas-based intracellular screening, GRAPE-LM outperforms traditional multi-round methods for aptamer evolution.
A review article that presents the functional properties of nucleic acids, with a focus on engineering, optimization and biomedical prospects.A review article that presents recent advances in AI-driven techniques for predicting RNA structure and function and for RNA design, offering directions and insights for future studies on the sequence–structure–function relationships of RNAs.This paper reports a method that uses a variational autoencoder framework with a profile hidden Markov model and SELEX data to design nucleic acid aptamers.This paper introduces CRISmers, a CRISPR–Cas-based screening system for RNA aptamers that targets a chosen protein of interest in an intracellular context.
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