Kanin Wichapong

Dr Kanin Wichapong received his PhD in Chemistry from Chulalongkorn University, Bangkok, Thailand. After completing his PhD, he worked as a postdoctoral researcher at Martin Luther University Halle-Wittenberg, Germany, where he focused on using computer-based methods to discover and design new drug candidates.

He then joined the Department of Biochemistry at Maastricht University, where he works on computer-aided drug discovery and molecular design. His research applies in silico approaches, including molecular docking, molecular dynamics simulations, and binding free energy calculations, to understand how proteins interact with each other and how these interactions can be targeted by potential therapeutic molecules. He develops and applies computational methods to identify and design new small molecules, peptides, and engineered proteins as potential therapeutic candidates. His research combines computational chemistry, structural biology, and drug discovery, with the aim of helping researchers identify promising therapeutic candidates more efficiently. More recently, he has expanded his research to include artificial intelligence (AI)-driven approaches for drug discovery and molecular design, using AI and machine learning to improve the identification and design of potential new drug candidates.