Ulrike Wittig

Here we share resources and best practices to develop a disease map for COVID-19. The project is progressing as a broad community-driven effort. We aim to establish a knowledge repository on virus-host interaction mechanisms specific to the SARS-CoV-2. The COVID-19 Disease Map is an assembly of molecular interaction diagrams established based on literature evidence.

The New Medicines for Trypanosomatidic Infections - NMTrypI project aimed at obtaining new candidate drugs against Trypanosomatidic infections with appropriate efficiency from the lead phase to the final preclinical phase that are more accessible to patients.

In the CoVIDD project, we aim at unravelling interactions of viral proteins with the cellular factors and the host pathways involved in SARS-CoV-2 infection by a combination of modern technologies, genomics, proteomics, structural biology, chemoinformatics and drug discovery. To effectively search for drugs that could modify viral replication we need to know what human proteins and viral proteins interact. Thus, a comprehensive virus-host protein interaction network will help us to identify the

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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 main idea of MIX-UP (MIXed plastics biodegradation and UPcycling using microbial communities) is to showcase a novel approach for plastic recycling and therefore addresses one of the greatest challenges of our time: the establishment of a circular (bio)-economy for plastics. The continuing demand for plastic products, the lack of appropriate recycling and the ubiquitous pollution of the environment with plastic waste pose a global challenge.

An ambitious vision and considerable efforts are

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Collection of training material for SEEK/FAIRDOMHub

Multi-level mathematical modeling of erythropoiesis for optimized expansion of erythroid progenitor cells and improved treatment regimes

SMART Plants for Tomorrow’s Needs

Plants enable life on Earth through the conversion of solar energy into chemical energy. Beginning with the Neolithic Revolution, the domestication of plants provided the basis for human population growth and, subsequently, the evolution of highly developed civilizations. However, the growing food demands imposed by an increasing population and the effects of anthropogenic climate change pose huge challenges for sustainable food production and ecosystem maintenance.

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The GMDS project group bundles activities for health-related FAIR data infrastructures in the fields of biomedical research, clinical data management and medical informatics in Germany. It aims at providing a platform for information exchange about best practice for and implementation of FAIR data management in these fields and constructing a network of FAIR data managements providers in these fields. Through bridging between providers and potential users of such data management platforms within

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The Systems Biology Service Center of de.NBI (de.NBI-SysBio) provides bioinformatics support and a standards-based data management for systems biology projects, with focus on the provenance of experimental results and on the reproducibility of modeling experiments, as well as high-quality curated biochemical data to modelers and experimentalists.

The node concentrates on two tools for the data management in life sciences research: SEEK, a catalogue for storage, registration and exchange of data

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Public showcase and collection of training material

The workshop focuses on the publication, curation, retrieval, and usage of kinetic data from the reaction kinetics database SABIO-RK and on the use of data in modeling. There will be experience reports from scientists who successfully used experimental data to formulate or verify biological hypotheses with the computer, and you will experience how experimental data can be used with computational models.

Supplementary material for "Mass spectrometry proteomic and network enrichment analysis to track FOLFOX response in drug resistant ovarian carcinoma"