Special Issue "Biological Statistical Mechanics"
Deadline for manuscript submissions: 31 May 2019
Prof. Dr. Alessandro Giuliani
Prof. Mariano Bizzarri
Department of Experimental Medicine, Systems Biology Group Lab, Sapienza University of Rome, Rome, Italy
Interests: tumor microenvironment; systems biology approach in the integrative understanding of cell and tumour biology; proteomic and metabolomic analysis of cells in microgravity; cytoskeleton and fractal shape analysis in biology and in space biology; biophysical study of complex systems in biology; fractal and mathematical integrative analysis of biological and clinical images and dynamics data; development of micro-electronic sensor devices in biochemistry
Any natural entity can be imagined as a system made up of interacting elements. This allows for the development of phenomenological "laws" shared by network-like systems only dependent on their wiring architecture. We can compare this situation with the success of classical thermodynamics, even if the founding fathers of this science were erroneously convinced that heat was a fluid. The difference with classical thermodynamics is that in the case of biological systems we cannot rely on macro-parameters like volume or pressure, but we must seriously consider the particular correlation structure of the system at hand. This is why focusing on state transitions (e.g., differentiation, development, onset of diseases, ecosystem de-stabilization) in which we expect abrupt changes of the system correlation structure is probably the most fruitful direction to establish a "biological statistical mechanics". This Special Issue is devoted to the collection of statistical mechanics-inspired approaches to biological systems at any scale of definition from cell biology to ecology and epidemiology. The issue is of crucial importance given the evident failure of strictly deterministic molecular biology approaches to predicting system-level properties of biological entities.
Prof. Alessandro Giuliani
Prof. Mariano Bizzarri
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.
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- network dynamics
- cell differentiation
- order and organization
- correlation dynamics
- complex networks, systems