Special Issue "Biological Networks"
Deadline for manuscript submissions: closed (31 January 2018) | Viewed by 45400
A printed edition of this Special Issue is available here.
Interests: systems biology; network inference; systems analysis; dynamical modeling; model identification; parameter estimation; design of experiments
Interests: The Bagheri Lab operates at the evolving interface between engineering and biology, promoting a diverse, creative research environment consisting of engineers and basic scientists that share the common mission of advancing medicine and biology. Through this collective effort, the lab aim to identify design principles that underlie complex biological function, and modulate extrinsic factors to optimize therapeutic interventions
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Biological networks describe systems of interacting components that provide context-specific responses. Networks pervade biology, governing biological processes at all scales, from subcellular protein signaling to entire ecosystems. An underlying characteristic of biological networks is the inherently robust response to stimuli/perturbations that are “greater than the sum of its parts”. In other words, these characteristics represent emergent and often non-intuitive behaviors. Quantitative approaches—including the mathematical modeling and systems analysis of biological networks—have played a critical role in uncovering regulatory network motifs that drive system performance, and predicting emergent phenomena. Earlier applications have focused on small to medium sized biological systems and have improved our basic understanding of countless biological processes, from enzyme kinetics to electrophysiology to predator-prey relationships.
Recent advances in high-throughput cell measurement technology, in combination with the exponential drop in the cost of next-generation sequencing, have stimulated further interest and enabled broad systematic interrogation of large, whole-cell networks. Investigation of biological processes with such breadth and resolution is unprecedented. This special issue on “Biological Networks” aims to curate novel advances in the development and application of network modeling and systems analysis to address longstanding challenges in biology. Topics include, but are not limited to:
- Development of new tools to interrogate biological networks
- Prediction of emergent biological phenomena through mathematical modeling
- Analysis of robust biological responses to uncover underlying design principles
Prof. Dr. Rudiyanto Gunawan
Dr. Neda Bagheri
Manuscript Submission Information
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