Table 1_A high-throughput screening platform for acetylcholinesterase inhibitors using a g

A dataset from a study that developed a novel high-throughput screening method for acetylcholinesterase (AChE) inhibitors. The method uses a stable cell line co-expressing a genetically encoded acetylcholine fluorescent sensor and AChE, enabling detection at the micromolar level. The dataset was authored by Xinxin Li and last updated on March 18, 2026.

Use Cases

• Training ML models to predict inhibitor efficacy based on high-throughput screening results.
• Benchmarking new AChE inhibitor screening methods against the described biosensor-based workflow.
• Analyzing cost-reduction and biocompatibility benefits of cell-based assays over traditional enzyme-based methods.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• The described method reduces cost by approximately two orders of magnitude compared to traditional assays.
• The screening method is described as high-throughput and eliminates the need for toxic chemical reagents.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 10.2 KB, indicating limited scope.

Provenance

Source

figshare, authored by Xinxin Li.

Collection Method

Data likely generated from a laboratory high-throughput screening platform using a genetically encoded biosensor.

Freshness

Last updated 2026-03-18 07:42:38; freshness should be verified.