Unknown

Dataset Information

AptaDiff: de novo design and optimization of aptamers based on diffusion models.


ABSTRACT: Aptamers are single-stranded nucleic acid ligands, featuring high affinity and specificity to target molecules. Traditionally they are identified from large DNA/RNA libraries using $in vitro$ methods, like Systematic Evolution of Ligands by Exponential Enrichment (SELEX). However, these libraries capture only a small fraction of theoretical sequence space, and various aptamer candidates are constrained by actual sequencing capabilities from the experiment. Addressing this, we proposed AptaDiff, the first in silico aptamer design and optimization method based on the diffusion model. Our Aptadiff can generate aptamers beyond the constraints of high-throughput sequencing data, leveraging motif-dependent latent embeddings from variational autoencoder, and can optimize aptamers by affinity-guid

SUBMITTER: Wang Z 

PROVIDER: S-EPMC11491854 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature