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Browse files- ASK1_dataset.csv +0 -0
- LICENSE +15 -0
- README.md +92 -3
ASK1_dataset.csv
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LICENSE
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Creative Commons Attribution 4.0 International (CC BY 4.0)
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Copyright (c) 2026 Krish Singh
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You are free to:
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- Share — copy and redistribute the material in any medium or format
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- Adapt — remix, transform, and build upon the material for any purpose, even commercially
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Under the following terms:
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- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made.
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No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
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Full license text:
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https://creativecommons.org/licenses/by/4.0/
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README.md
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license: cc
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---
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license: cc-by-4.0
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task_categories:
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- regression
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- classification
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language:
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- en
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tags:
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- chembl
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- fibrosis
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- ask1
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- map3k5
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- drug-discovery
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- cheminformatics
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- qsar
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- machine-learning
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pretty_name: ChEMBL ASK1 Fibrosis Dataset
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---
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# 🧪 ChEMBL ASK1 Fibrosis Dataset
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This dataset contains curated **bioactivity data for ASK1 (MAP3K5)** compounds extracted from **ChEMBL**, focused on **fibrosis-related drug discovery** tasks.
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The dataset is designed to be **machine-learning ready** and can be directly used for QSAR modeling, regression, and classification experiments.
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---
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## 🔬 Target Information
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- **Target Name:** ASK1
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- **Gene Symbol:** MAP3K5
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- **Protein Type:** Kinase
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- **Disease Context:** Liver, pulmonary, renal fibrosis
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ASK1 plays a key role in stress-activated signaling pathways implicated in fibrotic disease progression.
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---
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## 📦 Dataset Description
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Each row corresponds to a compound–target bioactivity record with standardized measurements.
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Typical fields include:
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- Compound identifiers
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- SMILES strings
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- Bioactivity type (IC50, Ki, etc.)
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- Standardized activity values
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- Assay metadata
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---
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## 🤗 How to Load the Dataset
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```python
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from datasets import load_dataset
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dataset = load_dataset("<your-username>/chembl-ask1-fibrosis")
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print(dataset)
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```
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---
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## 📊 Intended Uses
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- Bioactivity regression (IC50 / Ki prediction)
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- Active vs inactive classification
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- QSAR modeling
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- SMILES-based deep learning
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- Graph neural networks
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---
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## 🚫 Limitations
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- Data is derived from public ChEMBL assays and may contain experimental noise
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- Not suitable for clinical or medical decision-making
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- Dataset size is limited to available ASK1-related assays
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---
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## 📜 License
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This dataset is released under the **Creative Commons Attribution 4.0 (CC BY 4.0)** license, in accordance with ChEMBL data usage terms.
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---
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## 📚 Citation
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If you use this dataset, please cite:
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- ChEMBL database
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- This dataset repository on Hugging Face
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