Research Topic · Peer-Reviewed

Computational Modeling of Biological Systems

Computational modeling of biological systems is a powerful tool to study the complexity of biological systems. It involves the use of complex mathematical algorithms and computer simulations to study the behavior and interactions of biological systems. This approach helps scientists gain insights into the functionin…

Curated from this journal's research 📚 1 peer-reviewed article cited 🗓 Reviewed July 2026

Overview

Computational modeling of biological systems is a powerful tool to study the complexity of biological systems. It involves the use of complex mathematical algorithms and computer simulations to study the behavior and interactions of biological systems. This approach helps scientists gain insights into the functioning of living systems and develop more effective treatments and therapies. Computational modeling can be used to explore the behavior of cells, tissues and organs, as well as to understand disease mechanisms and identify targets for drug design. By simulating biological processes, this technology helps to identify new interventions or treatments for diseases. Moreover, computational modeling can be used to evaluate the impact of different environmental conditions and to investigate the effects of interventions. As such, it is a valuable resource for medical research and for the development of new treatments and therapies.

Research published in this journal

1 peer-reviewed article, ranked by relevance. Each links to its DOI.

Editorial oversight

Curated from peer-reviewed research published in In-vitro In-vivo In-silico Journal.

Journal editorial board
George Kordas · Russia

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