Research Topic · Peer-Reviewed

Genetic Mathematical Modelling

Genetic mathematical modelling is a powerful computational tool for simulating the behavior of complex biological systems. This type of modelling utilizes underlying genetic relationships between related organisms, such as humans and nonhuman primates, to predict how certain changes in genetic codes may manifest in …

Curated from this journal's research 📚 2 peer-reviewed articles cited Cited 8× across the literature 🔖 ISSN 2694-1198 🗓 Reviewed June 2026

Overview

Genetic mathematical modelling is a powerful computational tool for simulating the behavior of complex biological systems. This type of modelling utilizes underlying genetic relationships between related organisms, such as humans and nonhuman primates, to predict how certain changes in genetic codes may manifest in the form of modifications in observable characteristics or behaviors. This method can be used to gain an understanding of the molecular mechanisms that give rise to genetic traits, identify the molecular targets of drugs and vaccines, predict the effects of Genetic Engineering, and explore ways to improve crop yields. Its potential applications are far-reaching, allowing researchers to better comprehend living systems and develop better treatments for diseases.

Research published in this journal

2 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 2 articles above have been cited 8 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Genetic Mathematical Modelling, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Genetic Engineering (ISSN 2694-1198).

Journal editorial board
Gabriela Roca · Germany Khalid Al-Nedawi · Canada Giuliana Giardino · Italy

This page summarises published research for orientation; it is not medical or professional advice.