AptaTrans: a deep neural network for predicting aptamer-protein interaction using pretrained encoders

Abstract Background Aptamers, which are biomaterials comprised of single-stranded DNA/RNA that form tertiary structures, have significant potential as next-generation materials, particularly for drug discovery. The systematic evolution of ligands by exponential enrichment (SELEX) method is a critica...

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Bibliographic Details

Main Authors:	Incheol Shin, Keumseok Kang, Juseong Kim, Sanghun Sel, Jeonghoon Choi, Jae-Wook Lee, Ho Young Kang, Giltae Song
Format:	Artigo
Language:	Inglês
Published:	BMC 2023-11-01
Series:	BMC Bioinformatics
Subjects:	Aptamer protein interaction Transformer Pretraing Structural representation SELEX
Online Access:	https://doi.org/10.1186/s12859-023-05577-6
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