Perspectives on computational modeling of biological systems and the significance of the SysMod community

Authors

Bhanwar Lal Puniya, University of Nebraska-LincolnFollow
Meghna Verma, R&D BioPharmaceuticals
Chiara Damiani, University of Milano-Bicocca
Shaimaa Bakr, Stanford University
Andreas Dräger, Eberhard Karl University of Tübingen, German Center for Infection Research, Martin Luther University Halle-Wittenberg

Document Type

Article

Date of this Version

6-14-2024

Citation

Bioinformatics Advances, 2024, 00, vbae090 https://doi.org/10.1093/bioadv/vbae090

Comments

Open access.

Abstract

Motivation: In recent years, applying computational modeling to systems biology has caused a substantial surge in both discovery and practical applications and a significant shift in our understanding of the complexity inherent in biological systems.

Results: In this perspective article, we briefly overview computational modeling in biology, highlighting recent advancements such as multiscale modeling due to the omics revolution, single-cell technology, and integration of artificial intelligence and machine learning approaches. We also discuss the primary challenges faced: integration, standardization, model complexity, scalability, and interdisciplinary collaboration. Lastly, we highlight the contribution made by the Computational Modeling of Biological Systems (SysMod) Community of Special Interest (COSI) associated with the International Society of Computational Biology (ISCB) in driving progress within this rapidly evolving field through community engagement (via both in person and virtual meetings, social media interactions), webinars, and conferences.