Monte Carlo Thompson sampling-guided design for antibody engineering

Monte Carlo Thompson sampling-guided design for antibody engineering

ABSTRACTAntibodies are one of the predominant treatment modalities for various diseases. To improve the characteristics of a lead antibody, such as antigen-binding affinity and stability, we conducted comprehensive substitutions and exhaustively explored their sequence space. However, it is practica...

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Bibliographic Details
Main Authors: Taro Kakuzaki, Hikaru Koga, Shuuki Takizawa, Shoichi Metsugi, Hirotake Shiraiwa, Zenjiro Sampei, Kenji Yoshida, Hiroyuki Tsunoda, Reiji Teramoto
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:mAbs
Subjects:
Antibody engineering
Bayesian optimization
machine learning
Monte Carlo method
protein engineering
Thompson sampling
Online Access:https://www.tandfonline.com/doi/10.1080/19420862.2023.2244214

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