Machine learning-powered, high-affinity modification strategies for aptamers

Machine learning-powered, high-affinity modification strategies for aptamers

The binding affinity of aptamers to targets has a crucial role in the pharmaceutical and biosensing effects. Despite diverse post-systematic evolution of ligands by exponential enrichment (post-SELEX) modifications explored in aptamer optimization, accurate prediction of high-affinity modification s...

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Bibliographic Details
Main Authors:	Gubu Amu, Xin Yang, Hang Luo, Sifan Yu, Huarui Zhang, Yuan Tian, Yuanyuan Yu, Shijian Ding, Yufei Pan, Zefeng Chen, Yixin He, Yuan Ma, Baoting Zhang, Ge Zhang
Format:	Article
Language:	English
Published:	Compuscript Ltd 2025-01-01
Series:	Acta Materia Medica
Online Access:	https://www.scienceopen.com/hosted-document?doi=10.15212/AMM-2024-0065
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