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Ankh3 Xl

Developed by ElnaggarLab
Ankh3 is a protein language model based on the T5 architecture. It is pre - trained by jointly optimizing masked language modeling and sequence completion tasks, and is suitable for protein feature extraction and sequence analysis.
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Release Time : 9/29/2024

Model Overview

Ankh3 is an advanced protein language model specifically designed to process protein sequence data. It learns the deep representation of proteins through two jointly optimized pre - training tasks (masked language modeling and sequence completion), and can be used for tasks such as protein feature extraction, sequence analysis, and structure prediction.

Model Features

Dual - task joint optimization
Optimize both masked language modeling and sequence completion tasks simultaneously to enhance the model's understanding of protein sequences
Flexible sequence processing
Support different tasks through different prefixes ([NLU]/[S2S]) to adapt to various protein analysis scenarios
Large - scale pre - training
Pre - trained on the UniRef50 dataset to learn a wide range of protein sequence features

Model Capabilities

Protein feature extraction
Protein sequence completion
Protein sequence representation learning

Use Cases

Protein research
Protein feature extraction
Extract the deep representation of protein sequences for downstream analysis tasks
Obtain protein sequence embeddings containing semantic information
Protein sequence completion
Predict the complete protein sequence based on the known partial sequence
Generate a protein sequence completion that is coherent with the input sequence
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