Systems Biology in ELIXIR: modelling in the spotlight [version 1; peer review: 1 approved, 2 approved with reservations]

• Published in: F1000 research 2022, Vol.11, p.1265
• Main Authors: Martins dos Santos, Vitor, Anton, Mihail, Szomolay, Barbara, Ostaszewski, Marek, Arts, Ilja, Benfeitas, Rui, Dominguez Del Angel, Victoria, Ferk, Polonca, Fey, Dirk, Goble, Carole, Golebiewski, Martin, Gruden, Kristina, Heil, Katharina F., Hermjakob, Henning, Kahlem, Pascal, Klapa, Maria I., Koehorst, Jasper, Kolodkin, Alexey, Kutmon, Martina, Leskošek, Brane, Moretti, Sébastien, Müller, Wolfgang, Pagni, Marco, Rezen, Tadeja, Rocha, Miguel, Rozman, Damjana, Šafránek, David, Sheriff, Rahuman S. Malik, Suarez Diez, Maria, Van Steen, Kristel, Westerhoff, Hans V, Wittig, Ulrike, Wolstencroft, Katherine, Zupanic, Anze, Evelo, Chris T., Hancock, John M.
• Format: Article
• Language: English
• Subjects: Biochemistry, Genetics and Molecular Biology (all); Bioengineering; Biological data; Biomolecular Models; Biotechnology; Breast cancer; Collaboration; Coronaviruses; COVID-19; Databases, Factual; Disease; ELIXIR Communities; Embedding; eng; Europe; FAIR; Funding; General Biochemistry, Genetics and Molecular Biology; General Immunology and Microbiology; General Medicine; General Pharmacology, Toxicology and Pharmaceutics; Genomes; Immunology and Microbiology (all); Knowledge management; Laboratories; Life sciences; Metabolism; Metabolites; Network Biology; Opinion; Pandemics; Pharmacology, Toxicology and Pharmaceutics (all); Precision medicine; Sciences du vivant; Software; Synthetic biology; Systems Biology; Systems Medicine
• ISSN: 2046-1402; 2046-1402
• DOI: 10.12688/f1000research.126734.1

In this white paper, we describe the founding of a new ELIXIR Community - the Systems Biology Community - and its proposed future contributions to both ELIXIR and the broader community of systems biologists in Europe and worldwide. The Community believes that the infrastructure aspects of systems biology - databases, (modelling) tools and standards development, as well as training and access to cloud infrastructure - are not only appropriate components of the ELIXIR infrastructure, but will prove key components of ELIXIR's future support of advanced biological applications and personalised medicine. By way of a series of meetings, the Community identified seven key areas for its future activities, reflecting both future needs and previous and current activities within ELIXIR Platforms and Communities. These are: overcoming barriers to the wider uptake of systems biology; linking new and existing data to systems biology models; interoperability of systems biology resources; further development and embedding of systems medicine; provisioning of modelling as a service; building and coordinating capacity building and training resources; and supporting industrial embedding of systems biology. A set of objectives for the Community has been identified under four main headline areas: Standardisation and Interoperability, Technology, Capacity Building and Training, and Industrial Embedding. These are grouped into short-term (3-year), mid-term (6-year) and long-term (10-year) objectives.