Multiscale Biological Modeling and Dynamical Systems

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematical Biology".

Deadline for manuscript submissions: closed (15 June 2022) | Viewed by 1879

Special Issue Editor


E-Mail Website
Guest Editor
Department of Mathematics and Statistics, University of Minnesota Duluth, Duluth, MN, USA
Interests: Gene regulation; dynamical systems; biological models

Special Issue Information

Dear Colleagues,

Mathematical biology has had many decades of success, but many fundamental and important challenges remain.  In particular, phenomena which bridge different scales in time and space and which intertwine a variety of types of processes are difficult to model and require collaborative efforts from mathematicians, statisticians, biologists, computer scientists, and other domain experts. 

In this special issue we seek contributions which use a mathematical modeling framework (broadly construed) to elucidate dynamic process in biology.  Submissions which involve interdisciplinary collaborations, or which span heirarchical levels (for example, from molecular and genetic processes to cellular/tissue/physiological effects and behaviors) are especially welcome.  Examples of these include cell motility modeling, interactions between the immune system and parasites, social motility, observable effects of gene regulatory networks, and epidemiological models which combine micro- and macro-level dynamics.

Prof. Dr. Marshall Hampton
Guest Editor

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 submissions that pass pre-check are 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. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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.

Keywords

  • Mathematical modeling
  • Gene regulation networks
  • Dynamical systems
  • Multiscale modeling
  • Emergent behavior
  • Cooperativity
  • Social Motility
  • Cell Motility

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

20 pages, 2407 KiB  
Article
General Designs Reveal a Purine-Pyrimidine Structural Code in Human DNA
by Dana Cohen
Mathematics 2022, 10(15), 2723; https://doi.org/10.3390/math10152723 - 01 Aug 2022
Cited by 1 | Viewed by 1423
Abstract
The human genome carries a vast amount of information within its DNA sequences. The chemical bases A, T, C, and G are the basic units of information content, that are arranged into patterns and codes. Expansive areas of the genome contain codes that [...] Read more.
The human genome carries a vast amount of information within its DNA sequences. The chemical bases A, T, C, and G are the basic units of information content, that are arranged into patterns and codes. Expansive areas of the genome contain codes that are not yet well understood. To decipher these, mathematical and computational tools are applied here to study genomic signatures or general designs of sequences. A novel binary components analysis is devised and utilized. This seeks to isolate the physical and chemical properties of DNA bases, which reveals sequence design and function. Here, information theory tools break down the information content within DNA bases, in order to study them in isolation for their genomic signatures and non-random properties. In this way, the RY (purine/pyrimidine), WS (weak/strong), and KM (keto/amino) general designs are observed in the sequences. The results show that RY, KM, and WS components have a similar and stable overall profile across all human chromosomes. It reveals that the RY property of a sequence is most distant from randomness in the human genome with respect to the genomic signatures. This is true across all human chromosomes. It is concluded that there exists a widespread potential RY code, and furthermore, that this is likely a structural code. Ascertaining this feature of general design, and potential RY structural code has far-reaching implications. This is because it aids in the understanding of cell biology, growth, and development, as well as downstream in the study of human disease and potential drug design. Full article
(This article belongs to the Special Issue Multiscale Biological Modeling and Dynamical Systems)
Show Figures

Figure 1

Back to TopTop