Systems Biology: From Description to Prediction and Engineering
*Corresponding Author:Received Date: Oct 01, 2025 / Accepted Date: Oct 29, 2025 / Published Date: Oct 29, 2025
Citation: Petrovic PM (2025) Systems Biology: From Description to Prediction and Engineering. Int J Inflam Cancer Integr Ther 12: 368.DOI: 10.4172/2381-8727.1000368
Copyright: © 2025 Prof. Marko Petrovic This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permitsunrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
Systems biology revolutionizes the understanding of complex biological processes through a holistic, integrative approach combining diverse data types, computational modeling, and experimental validation. It is crucial for predicting disease mechanisms and identifying therapeutic targets, especially in cancer and inflammatory disorders. Key components include multi-omics integration, network analysis, and the development of predictive computational models. The field aims to transition from descriptive under standing to predictive and engineering applications, enabling precise control of cellular behavior for advancements in medicine and synthetic biology.
