The Leibniz-LSB@TUM provides a world-leading knowledge basis for understanding and controlling functional molecular effector systems along the supply chain from raw materials to foods, their chemoreceptor-mediated response profiles, and the underlying biology in humans.


The Leibniz-LSB@TUM aims to identify, predict, and modulate molecular effector systems that determine sensory and nutritional quality, as well as food safety, to understand their role as information carrier between biological systems, and, by exploiting their mechanisms of action, to control metabolic and cellular processes maintaining human health.


By employing a multidisciplinary “systems biology” approach, the Leibniz-LSB@TUM integrates data streams of analytical high-performance technologies and experimental endeavors in chemistry and biology with computer science and, by cycling between experiment and in silico modelling, applies machine learning concepts to reveal a new functional understanding of complex food effector systems and their chemoreceptor-mediated interactions with human biology.