UTexas Aptamer Database: 1,415 Sequences from 489 Papers (1990-2022)

A collection of 1,415 aptamer sequences extracted from 489 scientific papers published between 1990 and 2022. The dataset, a snapshot from the University of Texas Aptamer Database, includes multiple sequences per selection experiment, akin to a metagenomic approach. For each aptamer, information includes publication details, target, sequence, GC percentage, length, binding affinity, and application.

Use Cases

• Predict aptamer binding affinity based on sequence features like GC percentage and length.
• Analyze trends in aptamer target selection and applications over the described multi-decade time range.
• Train sequence generation models for novel aptamers based on the provided nucleic acid composition and pool data.
• Study the relationship between selection buffer conditions and reported binding affinity.

Strengths

• Contains 1,415 aptamer sequences, providing a substantial corpus for analysis.
• Spans 489 source papers published over more than three decades (1990-2022), offering historical perspective.
• Includes multiple sequences per experiment, not just high-affinity binders, which likely increases sequence diversity.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified beyond the August 2023 snapshot.

Provenance

Source

The University of Texas at Austin (UTexas Aptamer Database).

Collection Method

Extracted manually from the scientific literature.

Time Range

1990-2022

Freshness

Snapshot from August 2023; update frequency of the source database is unknown.