MS 2: In Silico Models of Coupled Biological Systems


Nicole Radde
Oliver Röhrle

Nicole Radde

The overarching goal of our project network is the development of detailed in silico models for complex biological systems that couple different scales and heterogeneous data. We concentrate our research on the neuromuscular system and on proliferative and degenerative diseases. We aim to support personalized healthcare and the development of tailor-made biomedical products by using predictive computational models that advance our understanding about the biological system via simulations and model analysis. A particular focus is thereby on models that capture heterogeneity on the cellular level which is related to differences in phenotypes on higher scales, and on building individualized models which allow to derive predictions and hypotheses for the individual patient. This becomes feasible by integrating system-specific data from various sources.

Thursday, 5 October 2023, 11:00-12:30 pm

The Catalytic Machinery of Protein Lysine- and DNA Methyltransferases - Synergistic Research of Molecular Dynamics Simulation and Biochemistry Philipp Schnee
(University of Stuttgart)

11:00 - 11:15 am

EnzymeML – Modelling challenges in enzymology and biocatalysis

Jan Range
(University of Stuttgart)

11:15 - 11:30 am
Man Machine Interfaces in Amputation Surgery?- are bionics reinventing current standards? Jennifer Ernst
(Clinic for Trauma Surgery Hannover Medical School)
11:30 - 11:50 am
Modelling the timescales of motor memory formation in dual-adaptation
Marion Forano
(Technical University of Munich)
11:50 - 12:10 pm
Stochastic modeling of the dynamics of senescence spread via paracrine signaling Lucy Martin
(University of Edinburgh)
12:10 - 12:30 pm
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