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Esm2 T12 35M UR50D

Developed by facebook
ESM-2 is a cutting-edge protein model trained on masked language modeling objectives, suitable for various protein sequence analysis tasks
Downloads 332.83k
Release Time : 9/27/2022

Model Overview

ESM-2 is a protein language model that understands and predicts protein sequence structures and functions through masked language modeling training. It is applicable to tasks such as protein engineering, functional prediction, and structural analysis.

Model Features

Multi-scale model options
Offers models ranging from 8 million to 15 billion parameters, allowing selection of appropriate versions based on computational resources
Protein sequence understanding
Capable of deeply understanding amino acid relationships and structural features in protein sequences
Transfer learning friendly
Supports fine-tuning for specific protein tasks, facilitating transfer learning applications

Model Capabilities

Protein sequence analysis
Masked amino acid prediction
Protein function prediction
Protein engineering assistance
Protein structure inference

Use Cases

Biomedical research
Protein function prediction
Predict functional properties of unknown proteins
Helps identify potential therapeutic targets
Protein design
Assists in designing new proteins with specific functions
Accelerates biopharmaceutical and industrial enzyme development
Bioinformatics
Sequence annotation
Automatically annotates functional domains and important sites in protein sequences
Improves genome annotation efficiency
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