AI/ML combined with next-generation sequencing of VHH immune repertoires enables the rapid identification of de novo humanized and sequence-optimized single domain antibodies: a prospective case study

AI/ML combined with next-generation sequencing of VHH immune repertoires enables the rapid identification of de novo humanized and sequence-optimized single domain antibodies: a prospective case study

Introduction: In this study, we demonstrate the feasibility of yeast surface display (YSD) and nextgeneration sequencing (NGS) in combination with artificial intelligence and machine learning methods (AI/ML) for the identification of de novo humanized single domain antibodies (sdAbs) with favorable...

Full description

Bibliographic Details
Main Authors: Paul Arras, Han Byul Yoo, Lukas Pekar, Thomas Clarke, Lukas Friedrich, Christian Schröter, Jennifer Schanz, Jason Tonillo, Vanessa Siegmund, Achim Doerner, Simon Krah, Enrico Guarnera, Stefan Zielonka, Andreas Evers
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Molecular Biosciences
Subjects:
artificial intelligence and machine learning (ML)
deep learning
in silico developability
long short-term memory (LSTM)
next-generation sequencing (NGS)
single domain antibodies (VHH)
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2023.1249247/full

Internet

https://www.frontiersin.org/articles/10.3389/fmolb.2023.1249247/full

Similar Items