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Using Physics-Based Molecular Modeling and Deep Learning Approaches to Understand and Design Therapeutic Nanobodies

​Vendredi 22 mars 2024 à 11:00, Salle de séminaire IBS, 71 avenue des Martyrs, Grenoble

Publié le 22 mars 2024
Anne Goupil-Lamy
Science Council Fellow at BIOVIA, BIOVIA, Dassault Systèmes
Understanding the atomic-level interactions between nanobodies and their target antigens is crucial for enhancing binder engineering. Achieving this requires precise 3D models of nanobodies, particularly in the complementary determining regions (CDRs). In this study, we employed both comparative modeling techniques and Machine Learning algorithms to predict accurate 3D structures of multiple nanobodies designed to target Glutamate receptors. Additionally, our investigation extends to include re-epitoping strategies to further optimize binding efficacy.​
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