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BioMed-ProteinSeq: Protein Structure Analysis Pipeline
📑 Paper | 🌐 Project Page | 💾 Released Resources | 📦 Repo
This is the processed protein dataset page for BioMed-ProteinSeq collection on HuggingFace.
Dataset
| Dataset | Link |
|---|---|
| BioMed-ProteinSeq | 🤗 |
Models Used
| Model | Purpose | Link |
|---|---|---|
| ESM-2 (650M) | Embedding Generation | 🤗 |
| ProtTrans | Structure Prediction | 🤗 |
Introduction
BioMed-ProteinSeq provides high-quality protein embeddings and predicted structural features for downstream biomedical applications. We utilize ESM-2 (Evolutionary Scale Modeling) from Meta AI to generate dense vector representations of protein sequences, enabling tasks such as function prediction, similarity search, and drug-target interaction modeling.
The embeddings were generated using facebook/esm2_t33_650M_UR50D, which is trained on UniRef50 protein sequence clusters.
*Due to computational constraints, we release only the curated subset of human proteome proteins.
License
The license for this dataset is MIT.
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