Homo sapiens

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.

tba

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 ...

Aim of HUMET Startup Project is to make an inventory of expertise, research goals, resources etc. of the HUMET Coaliytion of the Willing.

IMOMESIC - Integrating Modelling of Metabolism and Signalling towards an Application in Liver Cancer

One of the most challenging questions in cancer research is currently the interconnection of metabolism and signalling. An understanding of mechanisms that facilitate the physiological shift towards a proliferative metabolism in cancer cells is considered a major upcoming topic in oncology and is a key activity for future drug development. Due to the complexity of interrelations, a systems biology ...

PoLiMeR is funded through the EU Marie Skłodowska-Curie Innovative Training Network (ITN), which drives scientific excellence and innovation. ITNs bring together universities, research institutes, industry and clinical partners from across the world to train researchers to doctorate level.

Metabolic diseases are a burden on the European population and health care system. It is increasingly recognised that individual differences with respect to history, lifestyle, and genetic make-up affect disease ...

Good data and model management improves the longevity and impact of your interdisciplinary research. FAIRDOM offers software and expertise to support you in better managing your interdisciplinary life-science projects, particularly in systems and synthetic biology. If you have never heard of data and model management, or are curious about it, or you are an expert keen to exchange ideas, our user meeting is the place for you!

At our users meeting you can:

• Learn why data and model management is ...

This project bundles information about COVID-19 related studies and tools in Germany. It intends to provide an information hub for the different initiatives, their aims, their processes, standards and study protocols, as well as their available data and metadata. It is initiated by the German National Research Data Infrastructure for Personal Health Data (nfdi4health), a consortium that plans to establish a concept for a federated research data infrastructure for personal health data in Germany. ...

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 ...

The project addresses the generation and establishment of programmed pacemaker cells for an in vitro drug testing possibility to perform predictive tests. This may lead to an improved treatment of cardiac arrhythmias or an accurate identification of potential drug molecules at a very early stage of development. Important benefits will arise in verifying the safety of a wide variety of medicines while reducing animal testing. For more information you may visit our project website at ...

The project "INtegrative COllaborative modeling in systems MEdicine" aims at connecting different heterogenous datasets and individual models within systems medicine.

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 ...

In this project, we integrate COVID19 Disease Maps curated regulatory information in a macrophage logical model. This allows logical simulations of the effects of acute inflammation caused by the SARS-CoV-2 virus, both in general and in a cell-specific perspective. Moreover, understanding the regulatory network behavior of macrophages following infection opens new ways to test and predict drug and drug combination effects, as a first step towards the development of new treatments.

Data and experimental methods to support the work in the following paper:

Establishing Consensus Annotation for the Hallmarks of Cancer, 2020, Yi Chen, F.J.Verbeek and K.Wolstencroft, in submission

The Integrated Platform for Endocrine Disruptor Risk Assessment (SNAPPER) project will propose solutions based around three core philosophies: Integrated Science: Integration of knowledge from a complete pipeline of systems biology into a holistic yet mechanistic framework that enhances the understanding both of endocrine biology and of adverse effects due to externally induced disruption of the body’s endocrine system. The pipeline includes in vivo, in vitro, and in silico data resulting both ...

We used the Neo4j graph database approach to integrate the content of the COVID-19 Disease Map diagrams to efficiently access, query and manage the content of these diagrams and enable communication with external resources, such as Reactome and Recon, that already provide support via a similar environment. This work complements the efforts on exploring COVID-19 disease mechanisms within the COVID-19 Disease Map Project.

Using standard systems biology methodologies a 14-compartment dynamic model was developed for the Corona virus epidemic. The model predicts that: (i) it will be impossible to limit lockdown intensity such that sufficient herd immunity develops for this epidemic to die down, (ii) the death toll from the SARS-CoV-2 virus decreases very strongly with increasing intensity of the lockdown, but (iii) the duration of the epidemic increases at first with that intensity and then decreases again, such that ...

Data digitized from publication.

Spigset1999a Description

Data digitized from publication.

Jeppesen1996 Description

Data digitized from publication.

Oh2012 Description

Data digitized from publication.

Healy1991 Description

Data digitized from publication.

Akinyinka2000 Description

Data digitized from publication.

Kakuda2014 Description

Data digitized from publication.

Haller2002 Description

Data digitized from publication.

Amchin1999 Description

Data digitized from publication.

Kaplan1997 Description

Data digitized from publication.

Blanchard1983a Description

Data digitized from publication.

Tanaka2014 Description

Data digitized from publication.

Perera2011 Description

Data digitized from publication.

Magnusson2008 Description

Data digitized from publication.

Hetzler1990 Description

NLRP3 inflammasome activation

Thrombotic complications and coagulopathy in COVID-19

Kynurenine synthesis pathway

TGF beta signalling

The role of the interaction between the SARS-CoV-2 Spike protein and the renin-angiotensin pathway, in particular human ACE2 in pulmonary blood pressure regulation

The Interferon-lambda (IFNL) map describes the action of the drug candidate IFNL on intra- and intercellular signal transduction under SARS-CoV-2.

The relation of the interferon 2 pathway and SARS-CoV-2.

The pathway of heme metabolism under COVID-19, involving Orf3a and Orf9c

The impact of SARS-CoV-2 on the apoptosis pathway

The pathways focused on SARS-CoV infections curated in Reactome. These pathways are work-in-progress.

A diagram of Nsp9 interactions.

Orf10 of SARS-CoV-2 and its interaction with the Cul2 pathway.

Pyrimidine deprivation and immune response related to human coronavirus infection

The mechanisms of the Electron Transport Chain under COVID-19, including Nsp7, Nsp8 and Orf9c

SARS-CoV-2 impact on the ER stress

COVID-19 Causal Networks: The SIGNOR team has curated the causal relationships that, according to available evidence, are likely to be relevant for the COVID-19 pathology. The perturbations caused by viral infection are integrated into the cell networks. Evidence obtained using related human coronaviruses diseases such as SARS and MERS are also mapped to the networks. Most of these are indirect relationships as few mechanistic details are clarified to date. As new evidence will be published, it ...

Metabolic interactions of the SARS-CoV-2 Nsp14 with the human galactose, nicotinate and nicotinamide, and purine metabolism.

Interactions of the SARS-CoV-2 E protein with human proteins in the context of histone acetylation.

Set of pathways encompassing the replication cycle of SARS-CoV-2: attachment, entry, translation, transcription, replication, assembly and release.

A diagram of JNK pathway in COVID-19.