Systems biology is an interdisciplinary scientific field dedicated to the systematic study of complex interactions within biological systems. It aims to understand the intricate networks of genes, proteins, metabolites, and other cellular components that work in concert to produce the dynamics of cells, tissues, and organisms. Unlike traditional biology, which often focuses on individual components, systems biology employs a holistic approach, emphasizing the integration of information across various biological levels and temporal scales.
Central to systems biology is the use of interdisciplinary methods to collect, integrate, and analyze data from different sources, such as genomics, proteomics, metabolomics, and transcriptomics. By incorporating high-throughput experimental data with sophisticated computational models, systems biology seeks to create comprehensive models that predict system behaviors under various conditions. These models can elucidate underlying biological principles, such as network robustness, system redundancy, and emergent properties.
Moreover, systems biology strives to advance our understanding of both normal physiological processes and the perturbations associated with diseases. This understanding has significant implications for developing innovative strategies to diagnose, treat, and prevent diseases, contributing to fields including personalized medicine, drug discovery, and biotechnology.
Significant challenges in systems biology include the integration of diverse data types, the development of accurate computational models, and the interpretation of complex system behaviors. Addressing these challenges requires collaboration across diverse scientific disciplines such as biology, computer science, mathematics, and engineering.
Ultimately, systems biology research aims to transcend traditional disciplinary boundaries, fostering new insights into the complexity of life, informing the development of new biotechnological applications, and leading to transformative healthcare solutions.
The aim of this collection of articles is to showcase pioneering and cutting-edge research that drives the field of systems biology forward, emphasizing discoveries, methodologies, systematic reviews, varied perspectives, and applications.
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Case Report
Clinical Trial
Community Case Study
Data Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
General Commentary
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Case Report
Clinical Trial
Community Case Study
Data Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
General Commentary
Hypothesis and Theory
Methods
Mini Review
Opinion
Original Research
Perspective
Policy and Practice Reviews
Policy Brief
Review
Systematic Review
Technology and Code
Keywords: Systems Biology, Computation, Modeling, Complex, Multi-Omics, Multiscale
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