Mathematical Calculation and Modeling in Biology
A Special Issue of International Journal of Molecular Sciences (ISSN 1422-0067) belonging to the section "Molecular Informatics".
Deadline for manuscript submissions: 31 March 2027 | Viewed by 865
Editor
Interests: mathematical modeling; computational biology; molecular biology; machine/deep learning; molecular interactions; computational drug design; disease biomarker; complex biological networks; data mining; non-coding RNA
Special Issue Information
Dear Colleagues,
The rapid development of molecular biology, high-throughput experimental technologies, and computational methods has led to an unprecedented accumulation of complex biological data at the molecular level. Mathematical calculations, mechanistic modeling, and data-driven approaches, particularly machine learning and deep learning, have become essential for extracting meaningful biological insights and enabling prediction modeling in modern biology. This Special Issue, “Mathematical Calculation and Modeling in Biology”, aims to bring together recent methodological developments in mathematical modeling, machine learning, and deep learning that address biological questions at the molecular level.
The scope of this Special Issue focuses on the development and application of mathematical models, numerical methods, and computational algorithms to investigate molecular-level biological processes. Topics of interest include molecular interaction networks, gene regulation and signaling pathways, enzyme kinetics, and protein structure. In addition, the Issue emphasizes the application of machine learning and deep learning techniques for molecular modeling, multi-omics data integration, biomolecular property prediction, and structure-function relationship analysis. Computational drug design and discovery, including drug-target interaction modeling, drug repositioning, drug resistance and sensitivity, molecular docking, and optimization of candidate compounds, are also key areas of interest.
Dr. Nan Sheng
Guest Editor
Manuscript Submission Information
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Keywords
- mathematical modeling
- computational biology
- machine/deep learning
- molecular biology
- molecular interactions
- gene
- protein
- small molecule
- computational drug design
- multi-omics
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