Immunoglobulin Go: Synergy of Combinatorics for Catalysis

Abstract: 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.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Immunoglobulin Go: Synergy of Combinatorics for Catalysis ; day:21 ; month:06 ; year:2023 ; extent:11 ; Israel journal of chemistry ; (21.06.2023) (gesamt 11)

Contributors, Places and Time

• Creator: Smirnov, Ivan ; Belogurov, Alexey ; Golovin, Andrey ; Stepanov, Alexey ; Zhang, Hongkai ; Blackburn, G. Michael ; Gabibov, Alexander

Further information

• DOI: 10.1002/ijch.202300078
• URN: urn:nbn:de:101:1-2023062116035195780430
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 10:56 AM CEST