Dominique Douguet
Papers
1
Total Citations
5
H-Index
1
About
Dominique Douguet is a prominent figure in computational chemistry and drug design, whose work bridges the gap between molecular modeling and therapeutic discovery. His research primarily focuses on the development and application of computational methods for rational drug design, including molecular docking, virtual screening, and the prediction of protein-ligand interactions. Douguet's major contributions lie in advancing the integration of molecular modeling techniques into early-stage drug development, enabling more efficient identification of lead compounds. His seminal paper, "From Molecular Modeling to Drug Design" (2007), has garnered over 5 citations, reflecting its foundational role in guiding researchers through the transition from theoretical models to practical drug discovery strategies. Beyond this, Douguet has been instrumental in creating open-source tools and databases that democratize access to computational drug design resources, empowering the global scientific community. His work has been recognized for its impact on both academic research and pharmaceutical innovation, making him a key resource for students and researchers seeking to understand the computational underpinnings of modern drug development.
Research Focus
Key Achievements
Top Papers
- 1From Molecular Modeling to Drug Design5 citations · 2007