Special Issues
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Mathematical Aspects of Computational Biology and Bioinformatics-III

Submission Deadline: 31 July 2026 View: 2103 Submit to Special Issue

Guest Editor(s)

Prof. Dumitru Baleanu

Email: dumitru@cankaya.edu.tr

Affiliation: Institute of Space Sciences, Magurele-Bucharest 077125, Romania; Department of Mathematics, Cankaya University, Ankara 06530, Turkey

Homepage:

Research Interests: fractional dynamics and its applications, fractional differential equations and their applications, discrete mathematics, image processing, Bioinformatics, mathematical biology

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Prof. Carla M. A. Pinto

Email: cap@isep.ipp.pt

Affiliation: Department of Mathematics, School of Engineering, Polytechnic of Porto, 4249-015 Porto,Portugal

Homepage:

Research Interests: mathematical models in epidemiology, networks of coupled dynamical systems, Central Pattern Generators for animal and robot locomotion, bifurcation theory, stability analysis, symmetry, fractional dynamical systems

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Dr. Sunil Kumar

Email: skumar.math@nitjsr.ac.in

Affiliation: Department of Mathematics, National Institute of Technology, Jamshedpur 831014, India

Homepage:

Research Interests: fractional calculus, epidemiological modelling, disease models

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Summary

Recent years have witnessed unprecedented progress in the 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, biofluids, DNA and protein structure, and function.


This special issue is mainly focused on addressing 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-III" 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


  • Open Access

    ARTICLE

    Fractional Order In Vitro Fertilization Model Real Data Analysis with Novel Application of Inequalities via Stability and Computational Techniques

    Manal Ghannam, Bilgen Kaymakamzade, Muhammad Farman, Kottakkaran Sooppy Nisar, Mohammed Altaf Ahmed
    CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2026.081075
    (This article belongs to the Special Issue: Mathematical Aspects of Computational Biology and Bioinformatics-III)
    Abstract In Vitro Fertilization (IVF) has been a major medical advancement in the field of fertility treatment. It has helped millions of individuals and couples overcome infertility by providing a workable option. It involves removing eggs from the ovaries of a female, fertilizing those eggs with male sperm in a monitored lab condition. In this work, we developed a new model to show the success of In Vitro Fertilization rates in women through a fractional- order compartmental modeling framework by using real data. The developed model is analyzed statistically, and the biological feasibility of the model. The Lipschitz… More >

  • Open Access

    ARTICLE

    Interpretable Deep Representation Learning for Pan-Cancer Diagnosis via Pathway-Constrained Transcriptomics

    Maram Fahaad Almufareh, Samabia Tehsin
    CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2026.081129
    (This article belongs to the Special Issue: Mathematical Aspects of Computational Biology and Bioinformatics-III)
    Abstract This article presents a Hierarchical Pathway-Masked Attention Autoencoder (H-PAAE), a biologically inspired representation-learning framework that enables explainable AI-guided cancer diagnosis. The model directly integrates the curated MSigDB Hallmark pathways, introducing pathway-constrained information flow and mechanistic interpretability through multi-level attention mechanisms. Based on TCGA RNA-seq data from 33 tumor types, H-PAAE compresses approximately 20,000 genes into a 128-dimensional latent space while preserving biologically meaningful structure. When used with XGBoost classification, H-PAAE delivers 92.37% test accuracy and 99.38% macro-AUROC with robust cross-validation results (92.5 ± 0.6%). SHAP analysis identifies a small number of key latent features, corresponding More >

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