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A guide for developing comprehensive systems biology maps of disease mechanisms: planning, construction and maintenance

As a conceptual model of disease mechanisms, a disease map integrates available knowledge and is applied for data interpretation, predictions and hypothesis generation. It is possible to model disease mechanisms on different levels of granularity and adjust the approach to the goals of a particular...

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Detalles Bibliográficos
Autores principales: Mazein, Alexander, Acencio, Marcio Luis, Balaur, Irina, Rougny, Adrien, Welter, Danielle, Niarakis, Anna, Ramirez Ardila, Diana, Dogrusoz, Ugur, Gawron, Piotr, Satagopam, Venkata, Gu, Wei, Kremer, Andreas, Schneider, Reinhard, Ostaszewski, Marek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325725/
https://www.ncbi.nlm.nih.gov/pubmed/37426048
http://dx.doi.org/10.3389/fbinf.2023.1197310
Descripción
Sumario:As a conceptual model of disease mechanisms, a disease map integrates available knowledge and is applied for data interpretation, predictions and hypothesis generation. It is possible to model disease mechanisms on different levels of granularity and adjust the approach to the goals of a particular project. This rich environment together with requirements for high-quality network reconstruction makes it challenging for new curators and groups to be quickly introduced to the development methods. In this review, we offer a step-by-step guide for developing a disease map within its mainstream pipeline that involves using the CellDesigner tool for creating and editing diagrams and the MINERVA Platform for online visualisation and exploration. We also describe how the Neo4j graph database environment can be used for managing and querying efficiently such a resource. For assessing the interoperability and reproducibility we apply FAIR principles.