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Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Metabolomics involves the comprehensive analysis of small molecules within a biological sample. Typically acquired using mass spectrometry, metabolomics data reflect the cellular state which can provide insights into health, disease, environmental toxicity, industrial technology, and other areas. Metabolomics data is rich and complex, requiring specialized techniques to interpret the data. With improved detection technologies and advances in machine learning and generative AI, computational analysis of metabolomics is rapidly expanding. This Dagstuhl Seminar extends the Computational Metabolomics series by focusing on enhancing our understanding of metabolomics data and turning the data into actionable biological insights. During this seminar, we aim to discuss topics related to several current challenges in metabolomics.

Allgemeine und fachübergreifende Veranstaltugen in Informatik,    Systembiologie und mathematische Biologie

Supramolecular chemistry has evolved into a vibrant and interdisciplinary field, offering powerful design principles to create complex, dynamic, and functional systems. The Beilstein Symposium “Designing Dynamic Matter – Frontiers in Supramolecular Systems” will bring together researchers working at the forefront of this rapidly expanding area to discuss how supramolecular strategies are shaping new directions in chemistry, materials science, and the life sciences.

The symposium will cover, but is not limited to the following themes: / The origin of life and synthetic cells / Molecular machines and out-of-equilibrium systems / Supramolecular materials for sustainability / Biomaterials and the interactions with cells / Molecular computing / Machine learning and AI in multi-components systems / Fundamental supramolecular systems

MIAPbP - Munich Institute for Astro-, Particle and BioPhysics

Living systems operate far from equilibrium, relying on a complex network of biochemical processes fueled by energy from their environment. However, this energy is often limited, and biochemical systems must use it efficiently to maintain robust functioning. Despite the critical role of chemical and metabolic networks in evolution, growth, and signaling, how energy constraints shape their behaviors or the full range of their emergent properties remain elusive. Addressing these open questions is essential for uncovering the fundamental principles that drive the complexity of life, and the link between energetic and cellular functions. By drawing on concepts from physics, we can better understand how living organisms optimize their limited energy resources and potentially apply these insights to the design of new materials with life-like properties. The aim of this workshop is to bridge different fields—stochastic thermodynamics, metabolic networks, and synthetic life—creating a connection among theoretical, computational, and experimental scientists to tackle these challenges.