Projects

The mission of the Virtual Human Platform is to improve the prediction of the potential harmful effects of chemicals and pharmaceuticals based on a holistic, interdisciplinary definition of human health by developing the Virtual Human Platform and accelerating the transition from animal-based testing to innovative safety assessment. The Virtual Human Platform integrates data on human physiology, chemical characteristics and perturbations of biological pathways, for the first time in an inclusive ...

PROMISEANG is a 48-month project that aims to develop novel alternative proteins from marine underexploited sources (marineinvertebrate and macroalgae discards and industrial biowastes) through biomass fermentation (solid-state and submerge processes),generating new microbial protein biomass, meeting market requirements for food, feed, and non-food (biomedicine, pharma andcosmetic) bio-based applications. A technically and economically viable biorefinery for microbial-based protein production ...

The PETzyme project's objective is to develop an enzymatic technology for recycling polyethylene terephthalate (PET) wastes using free and immobilized PET hydrolases. We aim to obtain biocatalysts with enhanced thermostability, and we will take advantage of all recent works where protein engineering was used to improve the stability and catalytic efficiency of these enzymes, thus increasing the competitiveness of this recycling process.

nfdi4health aims to create the most comprehensive inventory of German epidemiological, public health and clinical trial data to date. It builds a centralised data catalogue with elaborate search functionalities, sophisticated data access management, and a data analysis toolbox, while respecting stringent requirements for privacy concerning personal health data. Standardisation services ensure a high degree of interoperability. Use cases covering prototypical study types and areas of research show ...

Cell biological and proteogenomic study of the chloroplast of the marine, bloom-forming dinoflagellate P. cordatum

SDBV group using Hub

Further proteomic data and ATP calculation

IntraCellular Pathway Modeling at KTH

Transcription bursting and stochastics

MESI-STRAT: Systems Medicine of Metabolic-Signaling Networks -A New Concept for Breast Cancer Patient Stratification. Breast cancer is a complex disease with high prevalence in the European Union and world-wide. 75%-80 of the patients have estrogen receptor-positive (ER)-positive tumors and are treated with endocrine therapies. Endocrine therapies, which block ER-driven tumor growth, show high efficacy. Yet, a significant proportion of the patients will eventually relapse with metastatic breast ...

FAIRDOM will establish a support and service network for European Systems Biology. We will serve projects in standardising, managing and disseminating data and models in a FAIR manner: Findable, Accessible, Interoperable and Reusable.

The project is aimed at integrated analysis of multi-omics TCGA data. We are going to use multiSOM approach.

Test data amaizing

Microalgae Microbiomes: A natural source for the prevention and treatment of diseases in aquaculture

Aquaculture is one of the fastest growing food sectors in the world. In order to guarantee continuous, efficient and sustainable production and to safeguard the growth of this important sector, its protection from biological threats is crucial. Within the AquaHealth project, an international consortium of highly experienced partners will assemble and apply an advanced meta’omics toolbox on the ...

The group around Nicole Radde specializes in the modeling, analysis, and simulation of biochemical systems. This especially includes parameter optimization and identification.

LIMAQUA results in an innovative process for converting and recirculating aquaculture side-streams (sludge and wastewater) in algae (Galdieria sulphuraria)-based feed production for aquacultures. In conventional aquaculture, feed production is responsible for 50% of greenhouse gas (GHG) emission. The aim is to substantially reduce GHG emission by considering geographic and site-specific characteristics (temperature, sunshine duration etc.) and to design site-specific phototrophic or heterotrophic ...