Revolutionizing oncology: the role of Artificial Intelligence (AI) as an antibody design, and optimization tools DOI Creative Commons
Varun Dewaker, Vivek Kumar Morya, Yeon-Ju Kim

et al.

Biomarker Research, Journal Year: 2025, Volume and Issue: 13(1)

Published: March 29, 2025

Antibodies play a crucial role in defending the human body against diseases, including life-threatening conditions like cancer. They mediate immune responses foreign antigens and, some cases, self-antigens. Over time, antibody-based technologies have evolved from monoclonal antibodies (mAbs) to chimeric antigen receptor T cells (CAR-T cells), significantly impacting biotechnology, diagnostics, and therapeutics. Although these advancements enhanced therapeutic interventions, integration of artificial intelligence (AI) is revolutionizing antibody design optimization. This review explores recent AI advancements, large language models (LLMs), diffusion models, generative AI-based applications, which transformed discovery by accelerating de novo generation, enhancing response precision, optimizing efficacy. Through advanced data analysis, enables prediction sequences, 3D structures, complementarity-determining regions (CDRs), paratopes, epitopes, antigen-antibody interactions. These AI-powered innovations address longstanding challenges development, improving speed, specificity, accuracy design. By integrating computational with biomedical driving next-generation cancer therapies, transforming precision medicine, patient outcomes.

Language: Английский

Precision mapping of the functional epitope of a SARS-CoV-2 neutralizing antibody via hydrogen–deuterium exchange mass spectrometry DOI
Ji Woong Kim, In Young Ko,

Ha Gyeong Shin

et al.

Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 113187 - 113187

Published: Feb. 1, 2025

Language: Английский

Citations

0
Revolutionizing oncology: the role of Artificial Intelligence (AI) as an antibody design, and optimization tools DOI Creative Commons
Varun Dewaker, Vivek Kumar Morya, Yeon-Ju Kim

et al.

Biomarker Research, Journal Year: 2025, Volume and Issue: 13(1)

Published: March 29, 2025

Antibodies play a crucial role in defending the human body against diseases, including life-threatening conditions like cancer. They mediate immune responses foreign antigens and, some cases, self-antigens. Over time, antibody-based technologies have evolved from monoclonal antibodies (mAbs) to chimeric antigen receptor T cells (CAR-T cells), significantly impacting biotechnology, diagnostics, and therapeutics. Although these advancements enhanced therapeutic interventions, integration of artificial intelligence (AI) is revolutionizing antibody design optimization. This review explores recent AI advancements, large language models (LLMs), diffusion models, generative AI-based applications, which transformed discovery by accelerating de novo generation, enhancing response precision, optimizing efficacy. Through advanced data analysis, enables prediction sequences, 3D structures, complementarity-determining regions (CDRs), paratopes, epitopes, antigen-antibody interactions. These AI-powered innovations address longstanding challenges development, improving speed, specificity, accuracy design. By integrating computational with biomedical driving next-generation cancer therapies, transforming precision medicine, patient outcomes.

Language: Английский

Citations

0