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Nanobert

Developed by NaturalAntibody
nanoBERT is a nanobody-specific transformer for predicting amino acids at specific positions in a given query sequence.
Downloads 117
Release Time : 10/23/2023

Model Overview

This model is trained on nanobody sequences from the INDI (Integrated Nanobody Immunoinformatics Database) and is primarily used for nanobody sequence analysis and amino acid position prediction.

Model Features

Nanobody specificity
Specially optimized and trained for nanobody sequences
Amino acid position prediction
Accurately predicts amino acids at specific positions in sequences
Based on INDI database
Trained using the Integrated Nanobody Immunoinformatics Database

Model Capabilities

Nanobody sequence analysis
Amino acid position prediction
Protein sequence mask prediction

Use Cases

Biomedical research
Nanobody design
Assists researchers in designing novel nanobodies
Improves the efficiency and accuracy of nanobody design
Protein engineering
Used for optimization and modification of protein sequences
Accelerates protein engineering research progress
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