---
title: peptides_hemolytic
canonical_url: "https://www.modelscope.cn/datasets/jablonkagroup/peptides_hemolytic"
md_url: "https://www.modelscope.cn/datasets/jablonkagroup/peptides_hemolytic.md"
repository: jablonkagroup/peptides_hemolytic
last_updated: 2025-05-28
license: "Apache License 2.0"
storage_size: "9.7 MB"
downloads: 1257
stars: 0
---

# peptides_hemolytic

> peptides_hemolytic - jablonkagroup 在 ModelScope 开源的数据集。Hemolysis is referred to the disruption of erythrocyte membranes that decrease the life span of red blood cells and causes the release of Hemoglobin. It is critical to identify non-hemolytic…

jablonkagroup/peptides_hemolytic 是 ModelScope 魔搭社区上的数据集，存储大小 9.7 MB，采用 Apache License 2.0 许可。

- **Repository**: jablonkagroup/peptides_hemolytic
- **License**: Apache License 2.0
- **Storage size**: 9.7 MB
- **Downloads**: 1257
- **Stars**: 0
- **Last updated**: 2025-05-28

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

---

## Dataset Details

### Dataset Description

Hemolysis is referred to the disruption of erythrocyte
membranes that decrease the life span of red blood cells and causes
the release of Hemoglobin. It is critical to identify non-hemolytic
antimicrobial peptides as a non-toxic and safe measure against bacterial
infections. However, distinguishing between hemolytic and non-hemolytic
peptides is a challenge, since they primarily exert their activity at the
charged surface of the bacterial plasma membrane.
The data here comes from the Database of Antimicrobial Activity and Structure of
Peptides (DBAASP v3). Hemolytic activity is defined by extrapolating a measurement
assuming dose response curves to the point
at which 50% of red blood cells are lysed. Activities below 100 mu g/ml, are
considered hemolytic.
The data contains sequences of only L- and canonical amino acids. Each measurement
is treated independently, so sequences can appear multiple times. This experimental
dataset contains noise, and in some observations (40%), an identical sequence appears
in both negative and positive class. As an example, sequence "RVKRVWPLVIRTVIAGYNLYRAIKKK"
is found to be both hemolytic and
non-hemolytic in two different lab experiments (i.e. two different training examples). 

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

### Dataset Sources

- [corresponding publication](https://doi.org/10.1021/acs.jcim.2c01317)
- [data source](https://doi.org/10.1093/nar/gkaa991)

## 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{Martins2012,
doi = {10.1021/ci300124c},
url = {https://doi.org/10.1021/ci300124c},
year = {2012},
month = jun,
publisher = {American Chemical Society (ACS)},
volume = {52},
number = {6},
pages = {1686--1697},
author = {Ines Filipa Martins and Ana L. Teixeira and Luis Pinheiro
and Andre O. Falcao},
title = {A Bayesian Approach to in Silico Blood-Brain Barrier Penetration Modeling},
journal = {Journal of Chemical Information and Modeling}
@article{Wu2018,
doi = {10.1039/c7sc02664a},
url = {https://doi.org/10.1039/c7sc02664a},
year = {2018},
publisher = {Royal Society of Chemistry (RSC)},
volume = {9},
number = {2},
pages = {513--530},
author = {Zhenqin Wu and Bharath Ramsundar and Evan~N. Feinberg and Joseph
Gomes and Caleb Geniesse and Aneesh S. Pappu and Karl Leswing and Vijay Pande},
title = {MoleculeNet: a benchmark for molecular machine learning},
journal = {Chemical Science}
```