Upcoming Webinar: The Art and Science of Cyclic Peptide Drug Design: From Experimental Discovery to AI-Driven Computation and the Road Ahead

BioDuro is excited to be co-hosting an online session with Atombeat on cyclic peptide discovery and wanted to personally invite you to join.

There’s been a lot of momentum around AI-driven peptide design, but a key question remains: how do we translate these AI-generated ideas into real molecules that can be tested and validated in the lab? In this webinar, the speakers will touch on a few practical aspects of that journey:

• Cyclic peptide design principles and how macrocyclization improves affinity, stability, and permeability
• Evaluation of computational and AI methods, including Rosetta GenKIC, diffusion models, and physics-informed AI
• How dominant experimental discovery platforms differ, and how to improve lead optimization through conformational entropy control, rational potency improvement, and strategies for permeability and metabolic stability
• Direct-to-biology (D2B) high-throughput synthesis and no-purification screening for validating AI-designed peptides
• Integrated platforms enabling end-to-end translation from design to IND-enabling development

Webinar Details:

• Speaker 1: Dongdong Wang Ph.D., Co-President of Drug Discovery, Atombeat
• Speaker 2: Fengping Xiao Ph.D., VP & Head of Peptide Platform, BioDuro
• Date: May 27^th, 2026
• Time: 11 am EDT | 8 am PDT | 4 pm BST | 5 pm CEST

If this is relevant to your work, we’d be glad to have you join the conversation

Register here: https://attendee.gotowebinar.com/register/6439019823217996377?source=ASEBio