Journal of Systems Biology

Aims and Scope

Journal of Systems Biology (JSB) is an Open Access interdisciplinary journal dedicated to advancing knowledge in the complex networks that govern life processes. JSB plays a pivotal role in advancing scientific knowledge and understanding in the field of systems biology, a discipline that holds immense significance for society. By providing a platform for the dissemination of cutting-edge research and innovative findings, the journal contributes to the development of novel approaches for addressing complex biological systems and their impact on human health, the environment, and beyond. 

• Biological Systems & Networks: Molecular networks, biochemical interactions, genetics, cellular dynamics  
• Computational & Quantitative Biology: Integrative modeling, simulations, bioinformatics, high-throughput analysis  
• Synthetic & Systems Biology: Engineering biological systems, synthetic biology, molecular circuit design  
• Evolutionary Systems Biology & Ecology: Adaptive networks, ecological modeling, evolutionary dynamics  
• Disease Modeling & Biomarker Discovery: Systems-level insights into diseases, drug discovery applications  
• Advanced Techniques & Applications: Imaging techniques, omics technologies, machine learning in biology  

JSB explores the application of artificial intelligence (AI) techniques, such as machine learning, deep learning, and natural language processing, in the analysis and interpretation of biological systems, including but not limited to omics data, network modeling, and drug discovery. Research that is directed towards developing new or enhanced technologies for clinical medicine or scientific research is of significant interest to the journal.

• Laser
• Biotechnology
• Biochemistry
• Microbiology
• Genomics
• Medical imaging
• Data engineering
• Computational biology
• Biomarkers
• Network topology
• Microfluidics
• Gene regulation
• Cell signaling
• Signaling
• Medicinal chemistry
• System dynamics
• Transcriptomics
• Robotics research
• Statistical methods
• Mathematical modeling
• Molecular diagnostics
• Big data analysis
• Artificial intelligence
• Biomedical informatics
• Biosensors
• Computational chemistry
• Epigenomics
• Structural biology
• Functional genomics
• Molecular dynamics
• Applied mathematics
• Molecular modeling
• Synchrotron radiation
• Genome annotation
• Power systems engineering
• Digital image processing
• Mathematical biology
• Ecological modeling
• Theoretical chemistry
• Biophysical chemistry
• Dna mapping
• Post-translational modifications
• Health and medicine
• Gene expression analysis
• Mitochondrial proteins
• Gene annotation
• Molecular simulation
• Nano chemistry
• Algorithm development
• Biological modeling
• Glycoproteomics
• DNA assembly
• Network dynamics
• Sequence assembly
• Bioinformatics databases
• Computational algorithms
• Computational tools
• Big data acquisition
• Biomedical image processing
• Biomolecular spectroscopy
• Gene identification
• Intelligent molecules
• Mathematical modeling of cancer
• Numerical chemistry
• Translational systems biology
• Mathematical modeling of infectious diseases