---
title: pampa_ncats
canonical_url: "https://www.modelscope.cn/datasets/jablonkagroup/pampa_ncats"
md_url: "https://www.modelscope.cn/datasets/jablonkagroup/pampa_ncats.md"
repository: jablonkagroup/pampa_ncats
last_updated: 2025-05-27
license: "Apache License 2.0"
storage_size: "4.4 MB"
downloads: 885
stars: 0
---

# pampa_ncats

> pampa_ncats - jablonkagroup 在 ModelScope 开源的数据集。PAMPA (parallel artificial membrane permeability assay) is a commonly employed assay to evaluate drug permeability across the cellular membrane. PAMPA is a non-cell-based, low-cost and high-throughput…

jablonkagroup/pampa_ncats 是 ModelScope 魔搭社区上的数据集，存储大小 4.4 MB，采用 Apache License 2.0 许可。

- **Repository**: jablonkagroup/pampa_ncats
- **License**: Apache License 2.0
- **Storage size**: 4.4 MB
- **Downloads**: 885
- **Stars**: 0
- **Last updated**: 2025-05-27

Source: https://www.modelscope.cn/datasets/jablonkagroup/pampa_ncats

---

## Dataset Details

### Dataset Description

PAMPA (parallel artificial membrane permeability assay) is a commonly
employed assay to evaluate drug permeability across the cellular membrane.
PAMPA is a non-cell-based, low-cost and high-throughput alternative to cellular models.
Although PAMPA does not model active and efflux transporters, it still provides permeability values
that are useful for absorption prediction because the majority of drugs are absorbed
by passive diffusion through the membrane.

- **Curated by:**
- **License:** CC BY 4.0

### Dataset Sources

- [original dataset link](https://tdcommons.ai/single_pred_tasks/adme/#pampa-permeability-ncats)
- [corresponding publication](https://journals.sagepub.com/doi/full/10.1177/24725552211017520)

## Citation

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

```bibtex
@article{siramshetty2021validating,
title={Validating ADME QSAR Models Using Marketed Drugs},
author={Siramshetty, Vishal and Williams, Jordan and Nguyen, DHac-Trung and Neyra, Jorge and Southall,
Noel and Math'e, Ewy and Xu, Xin and Shah, Pranav},
journal={SLAS DISCOVERY: Advancing the Science of Drug Discovery},
volume={26},
number={10},
pages={1326--1336},
year={2021},
publisher={SAGE Publications Sage CA: Los Angeles, CA}
}
```