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Esm2 T6 8M UR50D
ESM-2 is a next-generation protein model trained with masked language modeling objectives, suitable for fine-tuning on various protein sequence tasks.
Downloads 1.5M
Release Time : 9/26/2022
Model Overview
ESM-2 is a protein language model that understands and predicts amino acid patterns in protein sequences through masked language modeling training, applicable to multiple protein-related tasks.
Model Features
Multi-scale model selection
Offers models ranging from 8 million to 15 billion parameters to accommodate different computational resource needs.
Protein sequence understanding
Capable of understanding and predicting amino acid patterns in protein sequences, capturing protein structure and functional information.
Easy fine-tuning
Designed for easy fine-tuning on specific protein tasks, with PyTorch and TensorFlow demonstration notebooks provided.
Model Capabilities
Protein sequence prediction
Masked amino acid prediction
Protein feature extraction
Protein structure inference
Use Cases
Bioinformatics
Protein function prediction
Predicts potential functions by analyzing protein sequences
Helps identify functional characteristics of unknown proteins
Protein design
Assists in designing new protein sequences with specific functions
Accelerates protein engineering research
Drug discovery
Target identification
Helps identify potential drug target proteins
Improves drug discovery efficiency
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