Machine-guided dual-objective protein engineering for deimmunization and therapeutic functions DOI

Eric Wolfsberg,

Jean-Sebastien Paul,

Josh Tycko

и другие.

Cell Systems, Год журнала: 2025, Номер unknown, С. 101299 - 101299

Опубликована: Июнь 1, 2025

Язык: Английский

Deep learning methods for protein representation and function prediction: A comprehensive overview DOI
Mingqing Wang, Zhiwei Nie,

Yonghong He

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 155, С. 110977 - 110977

Опубликована: Май 14, 2025

Язык: Английский

Процитировано

0

Generative Deep Learning Design of Single-Domain Antibodies Against Venezuelan Equine Encephalitis Virus DOI Creative Commons

Jinny L. Liu,

Gabrielle C. Bayacal,

Jerome Anthony E. Alvarez

и другие.

Antibodies, Год журнала: 2025, Номер 14(2), С. 41 - 41

Опубликована: Май 14, 2025

Venezuelan equine encephalitis virus (VEEV) represents a significant biothreat with no FDA-approved vaccine currently available, highlighting the need for alternative therapeutic strategies. Single-domain antibodies (sdAbs) present potential to conventional antibodies, due their small size and ability recognize cryptic epitopes. This research describes development preliminary evaluation of VEEV-binding sdAbs generated using generative artificial intelligence (AI) platform. Using dataset known alphavirus-binding sdAbs, AI model produced sequences predicted affinity E2 glycoprotein VEEV. These candidate were expressed in bacterial periplasmic system purified initial assessment. Enzyme-linked immunosorbent assays (ELISAs) indicated binding activity VEEV antigens. In vitro neutralization tests suggested inhibition infection cultured cells some candidates. study demonstrates how can expedite antiviral establishes framework quick responses emerging viral threats when extensive example databases are unavailable. Additional refinement validation AI-generated could establish effective therapeutics.

Язык: Английский

Процитировано

0

Applying computational protein design to therapeutic antibody discovery - current state and perspectives DOI Creative Commons

Weronika Bielska,

Igor Jaszczyszyn,

Paweł Dudzic

и другие.

Frontiers in Immunology, Год журнала: 2025, Номер 16

Опубликована: Май 22, 2025

Machine learning applications in protein sciences have ushered a new era for designing molecules silico. Antibodies, which currently form the largest group of biologics clinical use, stand to benefit greatly from this shift. Despite proliferation these design tools, their direct application antibodies is often limited by unique structural biology molecules. We note that multiple methods attempting antibody focus on discovery an antigen-specific antibody. Here, we review current computational design, focusing binder discovery, contextualizing role drug process.

Язык: Английский

Процитировано

0

Scratch That? De Novo Antibody Design Enters the AI Drug Discovery Toolbox DOI

Fu‐Yang Lin

GEN Biotechnology, Год журнала: 2025, Номер unknown

Опубликована: Май 28, 2025

Язык: Английский

Процитировано

0

Machine-guided dual-objective protein engineering for deimmunization and therapeutic functions DOI

Eric Wolfsberg,

Jean-Sebastien Paul,

Josh Tycko

и другие.

Cell Systems, Год журнала: 2025, Номер unknown, С. 101299 - 101299

Опубликована: Июнь 1, 2025

Язык: Английский

Процитировано

0