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Special Issue "Biological Statistical Mechanics"
Deadline for manuscript submissions: 15 November 2019.
Environment and Health Department, Istituto Superiore di Sanità, Roma 00161, Italy
Interests: multidimensional statistics; complex networks; cell fate transitions; protein structure; biocomplexity; systems biology; QSAR; physiology
Department of Experimental Medicine, Systems Biology Group Lab, Sapienza University of Rome, via A. Scarpa 16, 00163 Rome, Italy University of Rome, via A. Scarpa 16, 00163 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
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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. Entropy 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 1600 CHF (Swiss Francs). 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.
- network dynamics
- cell differentiation
- order and organization
- correlation dynamics
- complex networks, systems