«Mechanisms of cancer growth, invasion, and progression: a biomathematical modeling analysis»
Andreas Deutsch, Professor of Technical University of Dresden, will hold a workshop "Mechanisms of cancer growth, invasion, and progression: a biomathematical modeling analysis".
A series of lectures «Mechanisms of cancer growth, invasion, and progression: a biomathematical modeling analysis»
Research of the department is directed at the development of innovative mathematical models and simulation tools to detect organizational principles of selected biological systems. Researchers focus on "cellular systems" which possess a multitude of interaction mechanisms whose cooperative interplay guarantees in particular the development of organismic forms. Disorders in cell interaction can lead to diseases and malignant pattern formation (e.g. tumor growth). Important insights into function and regulation of biological systems can be gained by linking mathematical modeling and computational tools with biological/medical in vitro, and in vivo data. The staff work on interdisciplinary projects on the basis of local, national, and international cooperation. They develop the software Morpheus, a modeling and simulation environment for the study of multiscale and multicellular systems.
Professor Gunther Senft Public Lecture
He has been studying the language and the culture of the Trobriand Islanders of Papua New Guinea since 1982 and conducted field research on the Trobriand Islands for 45 months during 16 long- and short-term field-trips between 1982 and 2012.
Lecture «Annelated medium-sized nitrogen heterocycles as suitable scaffolds for cns-targeted leads»
Medium-sized nitrogen heterocycles (7-to-15-membered) have widespread interest in organic synthesis and medicinal chemistry.
Lecture «Structure-based drug discovery: principles and applications in the main therapeutic areas»
Since the first protein structures were determined through X-ray crystallography in the early 1960s, the knowledge of the three-dimensional structure of therapeutically relevant targets has informed and usefully supported drug discovery.