Posted in | News | Medical Robotics | Artificial Intelligence

Receptor.AI and Ono Join Forces to Advance AI-Powered Drug Discovery

Editorial Checklist

Reviewed

Receptor.AIApr 2 2025

Receptor.AI, a leading preclinical TechBio company transforming drug discovery through AI, has announced a new research collaboration with Ono Pharmaceutical Co., Ltd. ("Ono") aimed at designing novel drug candidates. Through this partnership, both companies will jointly pursue the identification and development of therapeutic compounds with improved potency, selectivity, and pharmacological characteristics.

"Our collaboration with Ono underscores our commitment to employing advanced AI-driven methods in drug discovery," said Dr. Alan Nafiiev, CEO of Receptor.AI. "By combining Ono's long-standing legacy in discovering innovative therapies with Receptor.AI's multiplatform ecosystem, we aim to accelerate the path from concept to clinic—ultimately bringing transformative treatments to patients who need them most."

"We have high regard for Receptor.AI's generative AI technology and computational platforms," said Seishi Katsumata, Corporate Officer / Executive Director, Discovery & Research of Ono. "Receptor.AI's proven track record in streamlining early-stage discovery aligns with our pursuit of breakthrough therapies. We look forward to making significant progress together and advancing our shared R&D efforts."

Source:

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback

Public Comment

Private Feedback to AZoRobotics.com

Submit

Machine Learning in Immunology: From Epitope Prediction to Smarter Vaccine Design

Machine Learning in Immunology: From Epitope Prediction to Smarter Vaccine Design

Explore how machine learning is transforming immunology—from epitope prediction to smarter vaccine design—plus key challenges and future directions.

Machine Learning’s Expanding Role in Environmental Health Research

Machine Learning’s Expanding Role in Environmental Health Research

Explore the role of machine learning in advancing environmental health research, from pollutant source attribution to dynamic health impact modeling.

The Role of Machine Learning in Fraud Detection: Safeguarding Digital Banking

The Role of Machine Learning in Fraud Detection: Safeguarding Digital Banking

Fraudsters are evolving, but so is AI! Learn how machine learning is improving fraud detection in banking.

Hi, I'm Azthena, you can trust me to find commercial scientific answers from AZoNetwork.com.

To start a conversation, please log into your AZoProfile account first, or create a new account.

Registered members can chat with Azthena, request quotations, download pdf's, brochures and subscribe to our related newsletter content.

A few things you need to know before we start. Please read and accept to continue.

Use of “Azthena” is subject to the terms and conditions of use as set out by OpenAI.
Content provided on any AZoNetwork sites are subject to the site Terms & Conditions and Privacy Policy.
Large Language Models can make mistakes. Consider checking important information.

I understand, and agree to receive occasional emails about Azthena such as usage tips and new feature announcements.

Please check the box above to proceed.

Great. Ask your question.

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.