Esm 1b
ESM-1b is a large-scale protein language model based on the Transformer architecture, developed by Facebook AI Research (FAIR).
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Release Time : 3/2/2022
Model Overview
ESM-1b is a deep learning model for protein sequence modeling, capable of predicting protein structure and function.
Model Features
Large-scale protein modeling
A large-scale Transformer architecture with 650M parameters, specifically designed for protein sequence modeling.
Structure prediction capability
Capable of predicting the three-dimensional structure and functional properties from protein sequences.
Transfer learning friendly
The pre-trained model can be fine-tuned for various downstream protein-related tasks.
Model Capabilities
Protein sequence representation learning
Protein structure prediction
Protein function prediction
Protein evolution analysis
Use Cases
Biomedical research
Protein design
Used to design new proteins with specific functions
Disease research
Analyze mutations and functional changes in pathogenic proteins
Drug discovery
Target identification
Identify potential drug target proteins
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