Overview
Biological modeling refers to the use of mathematical and computational frameworks to represent, simulate, and analyze biological systems and processes. Research published in this journal on biological modeling spans applications from neuroscience to biotechnology. One study employed computational modeling to investigate the neural mechanisms underlying excessive firing rate variability in visual cortex neurons in schizophrenia, examining how retinal and cortical factors contribute to this pathological phenomenon. Another article explored the integration of bioinformatics approaches in biotechnology, highlighting how computational tools and modeling techniques are increasingly essential for analyzing biological data and advancing biotechnological applications. These works demonstrate that biological modeling serves as a critical bridge between theoretical understanding and empirical observation, enabling researchers to test hypotheses about complex biological mechanisms that may be difficult to probe experimentally. The topic matters because computational and mathematical models provide quantitative frameworks for understanding disease mechanisms, predicting system behaviors, and guiding experimental design across diverse biological domains, from cellular processes to whole-organism physiology and from basic research to applied biotechnology.
Research published in this journal
2 peer-reviewed articles, ranked by relevance. Each links to its DOI.
The Emerging Role of Bioinformatics in Biotechnology
How this research is being cited
The 2 articles above have been cited 7 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
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2022 · JURNAL BIOLOGI TROPIS
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2022 · SSRN Electronic Journal
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2021 · Springer eBooks
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2020 · Human Immunology
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2020 · Human Immunology
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2018 · Journal of Biotechnology and Biomedical Science
A sample of recent works citing this journal's research on Biological Modeling, linking to each citing work.