Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies
Although the therapeutic efficacy and commercial success of monoclonal antibodies (mAbs)
are tremendous, the design and discovery of new candidates remain a time and cost …
are tremendous, the design and discovery of new candidates remain a time and cost …
Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery
W Wilman, S Wróbel, W Bielska… - Briefings in …, 2022 - academic.oup.com
Antibodies are versatile molecular binders with an established and growing role as
therapeutics. Computational approaches to develo** and designing these molecules are …
therapeutics. Computational approaches to develo** and designing these molecules are …
Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies
Antibodies have the capacity to bind a diverse set of antigens, and they have become critical
therapeutics and diagnostic molecules. The binding of antibodies is facilitated by a set of six …
therapeutics and diagnostic molecules. The binding of antibodies is facilitated by a set of six …
Antibody structure prediction using interpretable deep learning
Therapeutic antibodies make up a rapidly growing segment of the biologics market.
However, rational design of antibodies is hindered by reliance on experimental methods for …
However, rational design of antibodies is hindered by reliance on experimental methods for …
Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies
1Program in Molecular Biophysics, Johns Hopkins University, Baltimore, MD, USA,
2Department of Chemical and Biomolecular Engineering, Johns Hopkins University …
2Department of Chemical and Biomolecular Engineering, Johns Hopkins University …
How can we discover developable antibody-based biotherapeutics?
Antibody-based biotherapeutics have emerged as a successful class of pharmaceuticals
despite significant challenges and risks to their discovery and development. This review …
despite significant challenges and risks to their discovery and development. This review …
Antibody variable sequences have a pronounced effect on cellular transport and plasma half-life
A Grevys, R Frick, S Mester, K Flem-Karlsen, J Nilsen… - Iscience, 2022 - cell.com
Monoclonal IgG antibodies are the fastest growing class of biologics, but large differences
exist in their plasma half-life in humans. Thus, to design IgG antibodies with favorable …
exist in their plasma half-life in humans. Thus, to design IgG antibodies with favorable …
A comparison of antibody–antigen complex sequence‐to‐structure prediction methods and their systematic biases
The ability to accurately predict antibody–antigen complex structures from their sequences
could greatly advance our understanding of the immune system and would aid in the …
could greatly advance our understanding of the immune system and would aid in the …
Protein structure prediction with mass spectrometry data
Knowledge of protein structure is crucial to our understanding of biological function and is
routinely used in drug discovery. High-resolution techniques to determine the three …
routinely used in drug discovery. High-resolution techniques to determine the three …
[HTML][HTML] Studying the characteristics of nanobody CDR regions based on sequence analysis in combination with 3D structures
Background Single-domain antibodies or nanobodies have recently attracted much attention
in research and applications because of their great potential and advantage over …
in research and applications because of their great potential and advantage over …