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Esm2 T33 650M UR50D
ESM-2 is a state-of-the-art protein model trained on masked language modeling objectives, suitable for protein sequence analysis and prediction tasks
Downloads 640.23k
Release Time : 9/27/2022
Model Overview
ESM-2 is a protein language model that understands and predicts protein structure and function through masked language modeling training on protein sequences. It is applicable to various protein-related downstream tasks.
Model Features
Large-scale Pretraining
The model is pretrained on vast amounts of protein sequence data, possessing powerful protein representation capabilities
Multi-scale Models
Offers models ranging from 8 million to 15 billion parameters, allowing selection based on needs
Protein-specific Design
Optimized specifically for protein sequence analysis, effectively capturing evolutionary information in amino acid sequences
Model Capabilities
Protein sequence representation learning
Protein structure prediction
Protein function prediction
Protein mutation effect analysis
Protein interaction prediction
Use Cases
Biomedical Research
Protein Function Annotation
Predict functional properties of unknown proteins
Helps researchers quickly understand the potential functions of newly discovered proteins
Drug Target Discovery
Identify potential drug target proteins
Accelerates the drug development process
Protein Engineering
Protein Design
Design novel proteins with specific functions
Can be used to develop new enzymes or therapeutic proteins
Protein Stability Optimization
Predict and optimize protein stability
Improves the stability of industrial enzymes
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