Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

High-quality Reconstruction of Disease Mechanisms: Planning, Development and Maintenance

Version 1 : Received: 9 December 2022 / Approved: 13 December 2022 / Online: 13 December 2022 (01:06:32 CET)

How to cite: Mazein, A.; Acencio, M.L.; Balaur, I.; Rougny, A.; Welter, D.; Niarakis, A.; Ramirez Ardila, D.; Dogrusoz, U.; Gawron, P.; Satagopam, V.; Gu, W.; Kremer, A.; Schneider, R.; Ostaszewski, M. High-quality Reconstruction of Disease Mechanisms: Planning, Development and Maintenance. Preprints 2022, 2022120209. https://doi.org/10.20944/preprints202212.0209.v1 Mazein, A.; Acencio, M.L.; Balaur, I.; Rougny, A.; Welter, D.; Niarakis, A.; Ramirez Ardila, D.; Dogrusoz, U.; Gawron, P.; Satagopam, V.; Gu, W.; Kremer, A.; Schneider, R.; Ostaszewski, M. High-quality Reconstruction of Disease Mechanisms: Planning, Development and Maintenance. Preprints 2022, 2022120209. https://doi.org/10.20944/preprints202212.0209.v1

Abstract

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.

Keywords

Systems Biology; Systems Medicine; Disease Mechanisms; Disease Maps; Network Biology

Subject

Biology and Life Sciences, Biology and Biotechnology

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