Computational tools for aptamer identification and optimization

• Published in: TrAC, Trends in analytical chemistry (Regular ed.) Vol. 157; p. 116767
• Main Authors: Sun, Di, Sun, Miao, Zhang, Jialu, Lin, Xin, Zhang, Yinkun, Lin, Fanghe, Zhang, Peng, Yang, Chaoyong, Song, Jia
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.12.2022
• Subjects: analytical chemistry; Aptamer identification; Aptamer optimization; Bioinformatics; case studies; COVID-19; Deep learning; Machine learning; oligonucleotides; RNA; Severe acute respiratory syndrome coronavirus 2; single-stranded DNA; systematic evolution of ligands by exponential enrichment; AI; DL; SVM; Aptamer optimization; MFE; Deep learning; COVID-19; HT-SELEX; NLP; RF; Aptamer identification; Machine learning; MD; Bioinformatics; MDS; SELEX; ML

Aptamers are single-stranded DNA or RNA oligonucleotides that can selectively bind to a specific target. They are generally obtained by SELEX, but the procedure is challenging and time-consuming. Moreover, the identified aptamers tend to be insufficient in stability, specificity, and affinity. Thus,...