---
title: volume_of_distribution_at_steady_state_lombardo_et_al
canonical_url: "https://www.modelscope.cn/datasets/jablonkagroup/volume_of_distribution_at_steady_state_lombardo_et_al"
md_url: "https://www.modelscope.cn/datasets/jablonkagroup/volume_of_distribution_at_steady_state_lombardo_et_al.md"
repository: jablonkagroup/volume_of_distribution_at_steady_state_lombardo_et_al
last_updated: 2025-05-27
license: "Apache License 2.0"
storage_size: "2.5 MB"
downloads: 763
stars: 0
---

# volume_of_distribution_at_steady_state_lombardo_et_al

> volume_of_distribution_at_steady_state_lombardo_et_al - jablonkagroup 在 ModelScope 开源的数据集。The volume of distribution at steady state (VDss) measures the degree of a drug's concentration in the body tissue compared to concentration in the blood. Higher VD…

jablonkagroup/volume_of_distribution_at_steady_state_lombardo_et_al 是 ModelScope 魔搭社区上的数据集，存储大小 2.5 MB，采用 Apache License 2.0 许可。

- **Repository**: jablonkagroup/volume_of_distribution_at_steady_state_lombardo_et_al
- **License**: Apache License 2.0
- **Storage size**: 2.5 MB
- **Downloads**: 763
- **Stars**: 0
- **Last updated**: 2025-05-27

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

---

## Dataset Details

### Dataset Description

The volume of distribution at steady state (VDss) measures the degree
of a drug's concentration in the body tissue compared to concentration in the blood.
Higher VD indicates a higher distribution in the tissue and usually indicates
the drug with high lipid solubility, low plasma protein binding rate.

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

### Dataset Sources

- [corresponding publication](https://doi.org/10.1021/acs.jcim.6b00044)
- [data source](https://tdcommons.ai/single_pred_tasks/adme/#vdss-volumn-of-distribution-at-steady-state-lombardo-et-al)

## 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{Lombardo2016,
doi = {10.1021/acs.jcim.6b00044},
url = {https://doi.org/10.1021/acs.jcim.6b00044},
year = {2016},
month = sep,
publisher = {merican Chemical Society (ACS)},
volume = {56},
number = {10},
pages = {2042--2052},
author = {Franco Lombardo and Yankang Jing},
title = {In Silico Prediction of Volume of Distribution in Humans. Extensive Data Set and the
Exploration of Linear and Nonlinear Methods Coupled with Molecular Interaction Fields Descriptors},
journal = {Journal of Chemical Information and Modeling}
```