Isr J Chem, 2023, 63(10-11)

Immunoglobulin Go: Synergy of Combinatorics for Catalysis

The maturation of B cells leads to the synthesis of highly evolved immunoglobulins (Igs) that enable efficient antigen-antibody recognition. Here we discuss a non-opportunistic, combinatorial concept of “maturation” of Igs in silico for the production of artificially-evolved immunocatalysts. Several recent breakthroughs including: (i) single B cell selection using microfluidic technology (ii) combinatorial approaches powered by library screening (iii) structural computing and machine learning, (iv) quantum mechanics/molecular mechanics (QM/MM) evaluations of catalytic reaction leading to optimistic prospect for the elaboration of more effective immunoglobulin-derived catalytic templates and redirection the selection process to a purely robotic procedure. The synergy of these approaches enable catalytic antibody become a great prospect for biomedical purposes. The most recent breakthroughs include therapeutic antibodies and catalytic Chimeric Antigen Receptors (catCARs) with controllable pharmacokinetic parameters.

Smirnov I, Belogurov A, Golovin A, Stepanov A, Zhang H, Blackburn M, Gabibov A

IBCH: 10744
Ссылка на статью в журнале: https://onlinelibrary.wiley.com/doi/10.1002/ijch.202300078
Кол-во цитирований на 09.2024: 0
Данные статьи проверены модераторами 2023-08-01

Список научных проектов, где отмечена публикация

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