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SMILES BERT
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SMILES BERT

Developed by JuIm
BERT model trained on 50,000 SMILES strings for understanding and processing chemical molecular representations
Molecular Model
Transformers
#SMILES comprehension#Drug molecule modeling#Chemical language model
Downloads 583
Release Time : 1/3/2024

Model Overview

This model is a BERT model trained on 50,000 SMILES strings, designed to understand SMILES notation. It can be fine-tuned for chemical molecular-related tasks such as binding affinity prediction and classification.

Model Features

Chemical molecular understanding
Capable of understanding and processing chemical molecular representations in SMILES format
Fine-tuning capability
Can serve as a base model for fine-tuning on specific chemical-related tasks
Specialized domain application
Focuses on the fields of chemistry and bioactivity prediction

Model Capabilities

Chemical molecular representation understanding
SMILES string processing
Base model for chemical property prediction

Use Cases

Drug discovery
Molecular activity prediction
Predict the binding affinity of molecules with specific proteins
Cheminformatics
Molecular property prediction
Predict the physicochemical properties of molecules
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