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WikiPathways as a platform for COVID-19 biological pathway models

Projectomschrijving

WikiPathways is een wereldwijd bekend en gevestigd kennisplatform, opgericht en onderhouden door Maastricht Universiteit. Het platform maakt moleculaire pathway modellen toegankelijk voor onderzoekers, houdt zijn pathway collectie up-to-date en ondersteunt het proces van medicijnontwikkeling voor de verschillende fasen van COVID-19.

Onderzoek

Het onderzoek kent drie aspecten om het gevecht tegen COVID-19 en toekomstige uitbraken te helpen voeren:

  1. Uitbreiding van WikiPathways als bron voor COVID-19 pathway modellen. Dit wordt gedaan door modellen en informatie te delen en samen te werken met alle COVID-19-onderzoeken.
  2. Verbetering van software om virus-mens interacties binnen relevante COVID-19 moleculaire processen beter te beschrijven zodat computers ze kunnen gebruiken.
  3. De ontwikkeling van analyse procedures gebruikmakend van de constante instroom van kennis, experimenten en klinische data.

Verslagen


Samenvatting van de aanvraag

Research question: The pandemic coronavirus disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, is causing far-reaching problems worldwide. We aim to understand differences in COVID-19 severity from asymptomatic to deadly cases, what the underlying molecular mechanisms are that contribute to these differences and how appropriate treatment strategies can be discovered. Urgency: It is key to have comprehensive molecular maps of the virus-host interactions, host immune response and other affected processes to be able to predict disease progression and develop stratified treatment strategies. While this pandemic brought experts together from around the world in the COVID-19 Disease Map project, it also highlighted missing features in software tools and data analysis. Hypothesis: WikiPathways, a popular knowledge platform founded and co-maintained by Maastricht University, is central to allow the community to curate up-to-date molecular pathway models with captured provenance and connects to a scala of analysis tools which enable us to identify underlying molecular reasons for diversity in disease progression, support the drug development process for the different stages of COVID-19 and provide a knowledge resource for scientific and educational purposes. Action plan: We identified three aspects to support the fight against COVID-19 and future outbreaks: (1) Extension of WikiPathways as a resource for COVID-19 pathway models and to share and collaborate on all COVID-19 research. (2) Advancements of the software tools to allow more accurate representation of the current state of knowledge on relevant COVID-19 molecular processes in machine-readable pathway models. (3) To react to the constant influx of new knowledge, experiments and clinical data, we will develop automated, continuously updated data analysis pipelines to study the link between virus-host interactions, downstream processes and effects of different phenotypes to better predict disease progression.

Onderwerpen

Kenmerken

Projectnummer:
10430012010015
Looptijd: 100%
Looptijd: 100 %
2020
2024
Onderdeel van programma:
Gerelateerde subsidieronde:
Projectleider en penvoerder:
dr. M. Kutmon
Verantwoordelijke organisatie:
Maastricht University