EventsThe 1st International Online Conference by Antibodies
Published
This submission belongs to the session S2. Antibody-based Therapeutics of the event The 1st International Online Conference by Antibodies
Published date
07 Oct, 2025
Academic Editor
author-avatarArne Skerra
Citation
ALURU UMA PRIYANKA, BUDIDHAVAKA YASHIKA, CHINTHAM JAYESH, AKKIDASARI CHARANTEJA, Advancements in Antibody Technology: From Bispecifics to AI-Driven Therapeutics, in Proceedings of The 1st International Online Conference by Antibodies, 13 October–14 October 2025, MDPI: Basel, Switzerland
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Advancements in Antibody Technology: From Bispecifics to AI-Driven Therapeutics

BUDIDHAVAKA YASHIKA 1
CHINTHAM JAYESH 1
AKKIDASARI CHARANTEJA 1
1. B.PHARMACY 4TH YEAR STUDENT, NARAYANA PHARMACY COLLEGE, NELLORE, INDIA-524003, India
Abstract

Antibody technology has rapidly evolved beyond conventional monoclonal antibodies, transforming the landscape of diagnostics, immunotherapy, and precision medicine. These advancements have led to the development of highly specialized antibody formats and engineering platforms that address complex diseases, including cancers, viral infections, and autoimmune conditions.

One of the most significant breakthroughs is the development of bispecific antibodies, which are designed to simultaneously bind to two different antigens or epitopes. This dual-targeting capability enhances therapeutic specificity, as seen in bispecific T-cell engagers (BiTEs), which redirect immune cells to tumor cells, offering greater efficacy in cancer immunotherapy.

Antibody-drug conjugates (ADCs) represent another innovation, combining the specificity of antibodies with the potency of cytotoxic agents. By selectively delivering chemotherapy drugs to tumor cells, ADCs such as trastuzumab deruxtecan have shown marked success in treating HER2-positive cancers, with reduced systemic toxicity.

During the COVID-19 pandemic, antibody technology played a pivotal role in the development of neutralizing antibodies against SARS-CoV-2. Monoclonal antibodies targeting the spike protein helped reduce viral load and disease severity in infected patients, demonstrating the rapid applicability of antibody platforms in pandemic response.

AI-driven antibody design is emerging as a revolutionary approach in drug development. Machine learning algorithms are being used to predict antibody–antigen interactions, optimize binding affinities, and design novel antibody sequences with high precision and speed, significantly reducing time and cost in therapeutic discovery.

Moreover, CAR T-cell therapy, a form of cellular immunotherapy based on engineered antibodies, has shown remarkable success in treating hematologic malignancies. By fusing an antibody-derived recognition domain with a T-cell signaling domain, CAR T-cells specifically target and kill cancer cells, offering durable responses in refractory cases.

Keywords
Bispecific antibodies
Antibody-drug conjugates
COVID-19 neutralization
AI in antibody design
CAR T-cell therapy
Poster
The Art of Immune Suppression: An Antibody Perspective
Smart Weapons Against Cancer: The Role of Monoclonal Antibodies in Targeted Therapy