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---
license: mit
---
# Description
Metal Ion Binding prediction is a binary classification task where each input protein *x* is mapped to a label *y* ∈ {0, 1}, corresponding to whether there are metal ion–binding sites in the protein.
The digital label means:
0: No
1: Yes
# Splits
**Structure type:** PDB
The dataset is from [**Exploring evolution-aware & -free protein language models as protein function predictors**](https://arxiv.org/abs/2206.06583). We employ all proteins from the original dataset, and split them based on 70% structure similarity (see [ProteinShake](https://github.com/BorgwardtLab/proteinshake/tree/main)), with the number of training, validation and test set shown below:
- Train: 5797
- Valid: 719
- Test: 719
# Data format
We organize all data in LMDB format. The architecture of the databse is like:
**length:** The number of samples
**0:**
- **name:** The PDB ID of the protein
- **chain:** The chain ID of the protein
- **seq:** The structure-aware sequence
- **label:** Digital label of the sequence
**1:**
**···**
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