Abstract
Computational models of biological systems can exploit a broad range of rapidly developing approaches, including novel experimental approaches, bioinformatics data analysis, emerging modelling paradigms, data standards and algorithms. A discussion about the most recent advances among experts from various domains is crucial to foster data-driven computational modelling and its growing use in assessing and predicting the behaviour of biological systems. Intending to encourage the development of tools, approaches and predictive models, and to deepen our understanding of biological systems, the Community of Special Interest (COSI) was launched in Computational Modelling of Biological Systems (SysMod) in 2016. SysMod’s main activity is an annual meeting at the Intelligent Systems for Molecular Biology (ISMB) conference, which brings together computer scientists, biologists, mathematicians, engineers, computational and systems biologists. In the five years since its inception, SysMod has evolved into a dynamic and expanding community, as the increasing number of contributions and participants illustrate. SysMod maintains several online resources to facilitate interaction among the community members, including an online forum, a calendar of relevant meetings and a YouTube channel with talks and lectures of interest for the modelling community. For more than half a decade, the growing interest in computational systems modelling and multi-scale data integration has inspired and supported the SysMod community. Its members get progressively more involved and actively contribute to the annual COSI meeting and several related community workshops and meetings, focusing on specific topics, including particular techniques for computational modelling or standardisation efforts.
Highlights
Advances in experimental technologies, such as multiomics, sequencing, and mass spectrometry, among others, have resulted in unprecedented amounts of highly heterogeneous data
SysMod has grown to a vital element of the Intelligent Systems for Molecular Biology (ISMB)/European Conference on Computational Biology (ECCB), complementing an already wide range of bioinformatics topics with systems biology modelling
The SysMod community focuses on models that explicitly include the principles of natural sciences, such as biophysics and thermodynamics, interaction mechanisms, or spatiotemporal dynamics
Summary
Advances in experimental technologies, such as multiomics, sequencing, and mass spectrometry, among others, have resulted in unprecedented amounts of highly heterogeneous data. Novel methods and the types of -omics data being integrated into these models (whether to calibrate, parameterise, or validate them) are vast. They may, for instance, include transcriptomics, proteomics, and metabolomics, at the bulk and single-cell levels. Simulations of these models, in turn, allow us to interrogate the models’ dynamics, characterise their emergent properties, and predict new properties (e.g., drug targets, biomarkers). SysMod envisions to provide an interdisciplinary forum for the discussing latest developments towards predictive, knowledge-based computer models of biological systems and processes (such as dynamic or logical models of metabolism, signalling, and regulatory processes) as well as methods that advance our understanding in biological science, precision medicine, and synthetic biology. By fostering interdisciplinary collaborations and the application of approaches from different fields that combine modelling and data, SysMod enables an advance in technology, data analysis, and data sharing as an opportunity to use data for creating more accurate, detailed, and re-usable predictive models
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
