Marek Ostaszewski

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.

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.

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.

Interactions of Nsp4 and Nsp6 proteins of SARS-CoV-2.

Interactions of the SARS-CoV-2 Orf3a with human proteins, especially in the context of the HOPS Complex.

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 ...

Pathway: Assembly of the Replication Transcription Complex and Transcription

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

This document outlines next steps in biocuration of COVID-19 Disease Map diagrams.

The document is based on the preprint "COVID-19 Disease Map, a computational knowledge repository of SARS-CoV-2 virus-host interaction mechanisms" (doi:10.1101/2020.10.26.356014).

This document helps to harmonise the curation efforts for the COVID-19 Disease Map.

Open listing of contributors to the COVID-19 disease maps

Presentations and notes from the COVID19 Disease Map curation telephone conferences.

Here we share and organize the literature used to build the components of the COVID-19 DIsease Map