---
pretty_name: Simeonov2008 Bioactive Compounds
tags:
- bioassay
- chemical
- small-molecule
- SMILES
- PubChem
language: en
license: unknown
dataset_info:
  features:
  - name: AID
    dtype: int64
  - name: CID
    dtype: int64
  - name: SMILES
    dtype: large_string
  - name: InChI
    dtype: large_string
  - name: InChIKey
    dtype: large_string
  - name: SMILES_sanitized
    dtype: large_string
  splits:
  - name: train
    num_bytes: 2108290
    num_examples: 7109
  download_size: 977966
  dataset_size: 2108290
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Simeonov2008 Bioactive Compounds

## Dataset Description
This dataset contains small-molecule compounds tested in multiple PubChem bioassays (AID 587, 588, 590, 591, 593, 594). It includes canonical SMILES, sanitized SMILES, InChI, and InChIKey identifiers for 7,109 unique compounds. Sanitization was performed to standardize chemical structures, remove counterions, and normalize functional groups.  

**Citation:**  
Simeonov, A., et al. (2008). *High-throughput screening for bioactive compounds*. PubChem BioAssay Database. https://pubchem.ncbi.nlm.nih.gov/

## Quick-Start Guide

```python
from datasets import load_dataset

# Load the dataset from Hugging Face
dataset = load_dataset("adsfibonacci/Simeonov2008")
df = dataset['train'].to_pandas()

# Preview
print(df.head())