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Structure-enhanced Deep Learning Accelerates Aptamer Selection for Small Molecule Families like Steroids

Year: 2025

Type: article

Abstract: High-throughput next generation sequencing (HT-NGS) data from DL-SELEX guided initial library for testosterone (TES) in the SELEX experiment. The dataset contains the round 3, 5 and 7 sequencing data in fastq format with forward and reverse read, and can be further analyzed using conventional tools like AptaSuite or the article related web server AptaClux for post-analyzing the HT-NGS data.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14272756

Author: Zhao, Zibin

Language: English

Topic: Advanced biosensing and bioanalysis techniques

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W6967909792

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