Special Issue "Biological Networks"
Deadline for manuscript submissions: closed (31 January 2018).
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Please note that for papers submitted after 31 December 2019 an APC of 1400 CHF applies. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.