Article

Computational and Machine Learning Approaches for Optimizing Anti-CD3ε Nanobody: Humanization and Characterization for Enhanced Therapeutic Efficacy

2025-01-13

Abstract excerpt

<title>Abstract</title> This study presents a comprehensive machine-learning-driven approach for the in silico humanization and characterization of anti-CD3ε nanobodies. Nanobodies, single-domain antibodies derived from camelids, hold immense therapeutic potential due to their small size, high solubility, and exceptional stability. However, their camelid origin necessitates humanization to minimize immunogenic...

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Literature Corpus work: 54d92ebe-24ea-594f-9d5d-ebdeb924b81f
DOI: 10.21203/rs.3.rs-5769566/v1

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