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

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-18
DOI
https://doi.org/10.5281/zenodo.14272756
Primary Topic
Genomics and Chromatin Dynamics
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Genomics and Chromatin Dynamics
article

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

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 52%
Genomics and Chromatin Dynamics
DOIOpen Access PDFOpenAlex
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Structure-enhanced Deep Learning Accelerates Aptamer Selection for Small Molecule Families like Steroids · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS