Improvement of Biophysical Properties and Affinity of a Human Anti-L1CAM Therapeutic Antibody through Antibody Engineering Based on Computational Methods
The biophysical properties of therapeutic antibodies influence their manufacturability, efficacy, and safety. To develop an anti-cancer antibody, we previously generated a human monoclonal antibody (Ab417) that specifically binds to L1 cell adhesion molecule with a high affinity, and we validated it...
Main Authors: | Heesu Chae, Seulki Cho, Munsik Jeong, Kiyoung Kwon, Dongwook Choi, Jaeyoung Lee, Woosuk Nam, Jisu Hong, Jiwoo Lee, Seonjoo Yoon, Hyojeong Hong |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
|
Series: | International Journal of Molecular Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/1422-0067/22/13/6696 |
Similar Items
-
Charge and hydrophobicity are key features in sequence-trained machine learning models for predicting the biophysical properties of clinical-stage antibodies
by: Max Hebditch, et al.
Published: (2019-12-01) -
A Predictive Model of Antibody Binding in the Presence of IgG-Interacting Bacterial Surface Proteins
by: Vibha Kumra Ahnlide, et al.
Published: (2021-03-01) -
Monoclonal Antibodies
Published: (2018) -
Bispecific antibodies: design, therapy, perspectives
by: Sedykh SE, et al.
Published: (2018-01-01) -
Natural and Man-made Antibody Repertories for Antibody Discovery
by: Juan C eAlmagro
Published: (2012-11-01)