Special Issue "Mathematical Aspects of Computational Biology and Bioinformatics"

Submission Deadline: 31 May 2021
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Guest Editors
Prof. Dumitru Baleanu, Cankaya University, Turkey; Instiute of Space Sciences, Romania
Dr. Carla M. A. Pinto, Polytechnic of Porto, Portugal
Dr. Sunil Kumar, National Institute of Technology, India


Recent years have witnessed unprecedented progress in computational biology and biosciences. Our society is eager to see basic research quickly translated into longer and better quality of life through deeper understanding of disease mechanisms and better medical treatment. Accordingly, many topics from computational biology and bioscience have been given high priority in the research. This special issue (SI) highlights mathematical and computational approaches, to examine central problems of the computational biological sciences. The essential target of this special issue is to focus on computational biology - work that uses mathematical approaches to gain biological understanding or explain biological phenomena. Research papers should either provide biological insight as a result of mathematical analysis or identify and open up challenging new types of mathematical problems that derive from biological knowledge. New mathematical ideas, techniques, and results in a biological context are welcome in this proposed special issue. Research areas of mathematical biology covered include, but are not restricted to, cell biology, physiology, development, neurobiology, genetics and population genetics, population biology, ecology, behavioural biology, evolution, epidemiology, immunology, molecular biology, bio fluids, DNA and protein structure and function.

This special issue is mainly focused to address a wide range of the theory and applications of fractional-order derivatives and fractional-order integrals in different directions of mathematical biology. We invite authors to contribute original research articles for the special issue "Mathematical Aspects on Computational Biology and Bioinformatics" in the following potential topics that include, but are not limited to:

• Biomodelling

• Genomics

• Neuroscience

• Evolutionary biology

• Cancer computational biology

• Neuropsychiatry

• Image analysis

• Statistical network modelling

• Dynamic pathway modelling

• Protein structure

• Synthetic Biology and Molecular Programming

• Modelling on infectious disease models

• Fractional calculus and its applications on computational biology

• Biophysics, systems biology and computational biology

Published Papers
  • Regarding on the Fractional Mathematical Model of Tumour Invasion and Metastasis
  • Abstract In this paper, we analyze the behaviour of solution for the system exemplifying model of tumour invasion and metastasis by the help of q-homotopy analysis transform method (q-HATM) with the fractional operator. The analyzed model consists of a system of three nonlinear differential equations elucidating the activation and the migratory response of the degradation of the matrix, tumour cells and production of degradative enzymes by the tumour cells. The considered method is graceful amalgamations of q-homotopy analysis technique with Laplace transform (LT), and Caputo–Fabrizio (CF) fractional operator is hired in the present study. By using the fixed point theory, existence… More
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  • Dynamical Transmission of Coronavirus Model with Analysis and Simulation
  • Abstract COVID-19 acts as a serious challenge to the whole world. Epidemiological data of COVID-19 is collected through media and web sources to analyze and investigate a system of nonlinear ordinary differential equation to understand the outbreaks of this epidemic disease. We analyze the diseases free and endemic equilibrium point including stability of the model. The certain threshold value of the basic reproduction number R0 is found to observe whether population is in disease free state or endemic state. Moreover, the epidemic peak has been obtained and we expect a considerable number of cases. Finally, some numerical results are presented which… More
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