Poanna Tran
Research Scientist
Gubra ApS
Talk Information
Incretins and Polypharmacology
19 June 2025, 09:15am - 09:30am, in the Pacific Jewel Ballroom
L56 – Machine Learning Guided Peptide Drug Discovery Speeds up Lead Identification as Demonstrated with Novel GLP-1R Agonists
Dr. Poanna Tran is a Research Scientist at Gubra ApS, a Danish biotech company specializing in preclinical contract research and peptide-based drug discovery. Her work focuses on integrating machine learning approaches into peptide drug discovery, aiming to accelerate the identification of lead compounds for therapeutic development.
Academic Background
While specific details about Dr. Tran's academic background are not publicly available, her current role at Gubra ApS and her contributions to scientific conferences suggest a strong foundation in chemical biology and computational methods applied to drug discovery.
Research Focus
At Gubra, Dr. Tran's research centers on the application of machine learning techniques to peptide drug discovery. She is involved in developing computational models that can predict peptide-receptor interactions, which streamlines the process of lead identification and optimization. Her work contributes to the advancement of peptide therapeutics, particularly in targeting metabolic diseases.
Notable Contributions
Dr. Tran is scheduled to present at the 2025 American Peptide Symposium, where she will discuss her work on "Machine Learning Guided Peptide Drug Discovery Speeds up Lead Identification as Demonstrated with Novel GLP-1R Agonists." This presentation highlights the practical applications of her research in accelerating the discovery of peptide-based therapeutics for conditions such as obesity and diabetes.
Professional Engagements
Beyond her research activities, Dr. Tran actively participates in scientific conferences and collaborative projects within the biotech community. Her contributions to the field of peptide drug discovery underscore her commitment to advancing innovative therapeutic strategies through interdisciplinary approaches.
Through her integration of computational methods and peptide chemistry, Dr. Poanna Tran continues to make significant strides in the development of novel therapeutics, exemplifying the impact of emerging technologies in modern drug discovery.