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European Molecular Biology Organization – EMBO

Biology,    Systems Biology and Computational Biology

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

Biology,    Cardiology

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

This inaugural EMBO | EMBL Symposium aims to showcase the future of plant biology. Going beyond the limited number of model plants that plant biologists have historically focused on (e.g. Arabidopsis, corn, rice), it is nowadays possible to use comparative approaches to uncover the mechanistic basis and the evolutionary drive for the enormous phenotypic variation among the 400,000 species of plants on Earth.

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

Max Planck Institute for the Physics of Complex Systems (mpi-pks)

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

MIAPbP - Munich Institute for Astro-, Particle and BioPhysics an institute of the Excellence Cluster ORIGINS

Likely pathways from the inanimate to the animate world involve a transition that can be thought of as the emergence of information in molecular systems. Before this transition, heteropolymers already exist, but the sequence information of a polymer does not persist beyond the lifetime of the polymer. During the transition, information becomes a separate dynamical entity, which lives and changes over longer timescales than its carrier molecules. This transition does not necessarily require the existence of a full-fledged replication machinery, such as polymerase enzymes that copy informational polymers. Instead, the interplay of simpler reactions can create strong correlations in pools of informational polymers, which can also decouple the timescales of the informational dynamics from those of the polymer dynamics. This interplay is only beginning to be studied, experimentally as well as computationally and theoretically, such that many conceptual and methodological questions are currently open. The central aim of this workshop is to bring together scientists with different backgrounds, in order to attack these questions together.

Courses and Events for Physics Students,    Academic Philosophy

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Over the past few decades, machine learning (ML) has helped advance progress in a wide range of problems in computational biology and biochemistry, particularly towards understanding the structure and function of proteins. Similarly, in cheminformatics, ML is increasingly influencing pharmaceutical decision making and enabling novel drug design strategies. However, an area of great importance that requires further advances, likely involving significant innovations, is the understanding, prediction, and design of protein-protein and protein-ligand interactions. This Dagstuhl Seminar aims to connect the protein-ML and cheminformatics-ML communities and foster their communication with key experts in biology and chemistry. This seminar will allow us to discuss both theoretical and application-oriented ML topics in the context of protein-protein and protein-ligand interactions.

Physical (Theoretical) Chemistry, Computational Chemistry,    Biochemistry and Medicinal Chemistry, Toxicology

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

The progress in understanding genes and genomes has given a boost to the use of synthetic DNA for biological and technological applications. Synthetic nucleic acids play a central role in synthetic biology and in emerging therapeutic paradigms, e.g., genome editing and nucleic acid vaccines. DNA-based data storage is making significant progress, and thanks to its extreme data-density, its high durability and its timelessness, it is promising to be the next standard for data archival systems. Synthetic biology and the use of synthetic DNA for information storage applications bring important algorithmic and data analysis challenges. In synthetic biology, reagent and assay design are often driven by algorithmic approaches. Novel synthesis technologies offer cost-reduction by several orders of magnitude at the cost of increased error-rate, raising new coding-theoretic questions. This Dagstuhl Seminar aims to bring together leading biologists, chemists, engineers, computer/data scientists, and theoreticians working on synthetic biology and on DNA-based data storage, to enable joint work in small groups leading to discussing and exploring recent advancements and current challenges.

Systems Biology and Computational Biology,    Genomics and Bioinformatics