GENE ONLINE|News &
Opinion
Blog

2024-03-20| R&DTechnology

AI-Designed Antibodies: A Revolution in Antibody Drug Discovery

by Oscar Wu
Share To
(Akiko Iwasaki, PhD, Canva, GPT)

The use of artificial intelligence (AI) in antibody design has the potential to revolutionize the development of novel therapeutics. AI-based approaches enable the rapid identification of antibody sequences that bind to specific target proteins, offering a significant advancement over traditional methods.

One such method, RESP, developed by researchers at the University of California, San Diego (UCSD), uses a Bayesian neural network to predict the binding affinity of antibody sequences, accelerating the discovery of antibody drugs. The RESP pipeline identifies antibodies with high affinity and specificity, making it a valuable tool in cancer and rheumatoid arthritis drug discovery.

While traditional methods for antibody discovery involve immunizing animals or screening large numbers of molecules, AI-powered biotechs such as AbSci, AbCellera, Generate Biomedicine, BigHat Biosciences, and Biolojic Design are paving the way for faster and more cost-effective antibody discovery. These companies harness the power of AI to optimize antibodies for binding, solubility, yield, and immunogenicity.

DenovAI, a startup founded by former EMBL staff scientist Kashif Sadiq, aims to broaden the scope of antibody therapy by developing an AI-powered biophysics solution for antibody discovery. By combining advanced machine learning with computational biophysics, DenovAI hopes to significantly reduce the time and cost associated with identifying promising antibody candidates.

A significant breakthrough in AI-guided antibody design has been the development of RFdiffusion, a generative AI model based on the RoseTTAFold structure prediction network. Created by a team at the University of Washington, RFdiffusion excels in various design challenges, including unconditional protein monomer design, symmetric oligomer design, and enzyme active site scaffolding. The accuracy of this method has been validated through experimental characterisation of designed proteins, demonstrating its potential in drug discovery.

RFdiffusion represents a powerful tool for designing novel antibodies. In a study, researchers used RFdiffusion to create antibodies targeting specific regions of bacterial and viral proteins, including those used by SARS-CoV-2. The designed antibodies were then experimentally tested for their ability to bind to the intended targets. The successful antibodies did not bind particularly strongly and required modifications for therapeutic use, but the study demonstrates the potential for AI-guided design of antibody drugs.

The study also demonstrates the successful de novo design of single-domain antibodies (VHHs) using a fine-tuned RF diffusion network. These VHHs can specifically bind to user-specified epitopes, offering a novel approach to antibody discovery that bypasses traditional time-consuming methods. Experimental validation confirmed that the designed VHHs successfully bind to disease-relevant epitopes, with the cryo-EM structure closely matching the design model.

The application of AI in antibody design is opening new avenues for the development of antibody therapeutics. With its capacity to reduce discovery timelines and increase success rates, AI is set to play a transformative role in the future of antibody drug discovery.

©www.geneonline.com All rights reserved. Collaborate with us: service@geneonlineasia.com
Author
Related Post
R&D
Bayer Signs New Partnership with Google Cloud, Joining Hands for AI Solutions for Radiologists
2024-04-10
AI-Driven Breakthroughs in Drug Discovery and Treatment Optimization
2024-04-02
R&D
Mayo Clinic Researchers Invent Hypothesis-Driven AI for Cancer Research Breakthroughs
2024-03-14
LATEST
Ochre Bio Announces Partnership with Boehringer Ingelheim to Develop Novel Regenerative Treatments for Patients with Advanced Liver Disease
2024-04-22
Earth Day Awareness: Hospitals Embrace Sustainability Efforts
2024-04-22
WHO Raises Alarm: Bird Flu Threat to Humans an ‘Enormous Concern’
2024-04-19
The Legal Battlefield of Weight-Loss Drugs: Eli Lilly and Novo Nordisk on the Defensive
2024-04-18
Pharmacogenomics in Asia-Pacific: Nalagenetics CEO Levana Sani Offers Insights and Strategies
2024-04-17
Rice University Engineers Develop Miniature Brain Stimulator for Safer and Less-invasive Neuromodulation
2024-04-17
Breakthrough Screening Platform to Assess SARS-CoV-2 Mutations and Potential Treatments
2024-04-16
EVENT
2024-04-27
2024 Biomedical Final Pitch Competition
Room DA1620, Dana Building, Dana-Farber Cancer Institute, 99 Jimmy Fund Way, Boston, MA 02115
Scroll to Top