AI models for protein design are driving antibody engineering
MF Chungyoun, JJ Gray - Current Opinion in Biomedical Engineering, 2023 - Elsevier
Therapeutic antibody engineering seeks to identify antibody sequences with specific binding
to a target and optimized drug-like properties. When guided by deep learning, antibody …
to a target and optimized drug-like properties. When guided by deep learning, antibody …
Overview of AlphaFold2 and breakthroughs in overcoming its limitations.
L Wang, Z Wen, SW Liu, L Zhang, C Finley… - Computers in Biology …, 2024 - Elsevier
Abstract Predicting three-dimensional (3D) protein structures has been challenging for
decades. The emergence of AlphaFold2 (AF2), a deep learning-based machine learning …
decades. The emergence of AlphaFold2 (AF2), a deep learning-based machine learning …
Applications and challenges in designing VHH-based bispecific antibodies: leveraging machine learning solutions
The development of bispecific antibodies that bind at least two different targets relies on
bringing together multiple binding domains with different binding properties and biophysical …
bringing together multiple binding domains with different binding properties and biophysical …