Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,11 +1,25 @@
|
|
| 1 |
---
|
|
|
|
| 2 |
license: mit
|
| 3 |
-
|
| 4 |
-
- en
|
| 5 |
tags:
|
| 6 |
- chemistry
|
| 7 |
- toxicology
|
| 8 |
pretty_name: Human & Rat Liver Microsomal Stability
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 9 |
size_categories:
|
| 10 |
-
-
|
| 11 |
---
|
|
|
|
| 1 |
---
|
| 2 |
+
language: en
|
| 3 |
license: mit
|
| 4 |
+
source_datasets: curated
|
|
|
|
| 5 |
tags:
|
| 6 |
- chemistry
|
| 7 |
- toxicology
|
| 8 |
pretty_name: Human & Rat Liver Microsomal Stability
|
| 9 |
+
dataset_summary: >-
|
| 10 |
+
Curation of databases of compounds for assessing human liver microsomes (HLM) stability and rat liver microsomes (RLM) stability.
|
| 11 |
+
citation: |-
|
| 12 |
+
@article{
|
| 13 |
+
author = {Longqiang Li, Zhou Lu, Guixia Liu, Yun Tang, and Weihua Li},
|
| 14 |
+
doi = {10.1021/acs.chemrestox.2c00207},
|
| 15 |
+
journal = {Chemical Research in Toxicology},
|
| 16 |
+
number = {9},
|
| 17 |
+
title = {In Silico Prediction of Human and Rat Liver Microsomal Stability via Machine Learning Methods},
|
| 18 |
+
volume = {35},
|
| 19 |
+
year = {2022},
|
| 20 |
+
url = {https://pubs.acs.org/doi/10.1021/acs.chemrestox.2c00207},
|
| 21 |
+
publisher = {ACS publications}
|
| 22 |
+
}
|
| 23 |
size_categories:
|
| 24 |
+
- 10K<n<100K
|
| 25 |
---
|