Manuscript Topics

Mathematical modeling and computation have become powerful tools in biological research. Recently, multiscale modeling and computational methods have been developed to biological problems on microscale and macroscale levels ranging from molecular, genomic, proteomic, cellular, tissue, organ, whole body, and population. This interdisciplinary research produces quantitative and predictive analysis of complex biological behaviors, which will improve our ability to understand the universal or generic features of biological phenomena and investigate underlying mechanisms and design appropriate experiments in the biological studies.

This special issue of MBE aims to present a state-of-the-art view of the multiscale modeling and computational methods, which typically involve continuous, discrete, deterministic, and stochastic approaches to model a variety of biological phenomena in biosciences, biomaterials and bioengineering.

Potential topics include but are not limited to:
• Cell and tissue dynamics; Cell sorting; Pattern formation; Morphogenesis
• Tumor growth; Cancer modeling; Bacterial colony growth
• Cell signaling pathways; Network inference in systems biology
• Chemical reaction kinetics; Bio-chemical reacting networks
• Multiscale modeling of complex and biofluids; Fluid-structure interaction; Cardiovascular risk assessment
• Molecular dynamics; Molecular network; Cytoskeletal dynamics
• Multiscale modeling and computation of biomolecules, protein-protein interactions, and membrane
• Ionic channel transport; Biological transport networks
• Rare events for biological systems
• Nonlinear dynamics; Biological oscillations; Neuronal dynamics and network
• Immunology; Disease epidemics and population dynamics
• Cellular automata models; Agent-based models
• Data-driven modeling; Machine learning in biology

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