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Petri Nets in Systems Biology

Petri Nets in Systems Biology Methodology and Applications

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Advances in Experimental Medicine and Biology

Petri Nets in Systems Biology

Methodology and Applications

Rza Bashirov

Medical / Research


Presents easy-to-explain and easy-to-understand solution to the first stage of target-based drug discovery
Novel approach as book is one of the first to apply Petri nets in target-based drug and gene therapies 
Equally useful for wide-spectrum of researchers from computer scientists and Petri netters to molecular biologists and experts in pharmacogenetics



Rza Bashirov is a distinguished scholar in computational modeling, serving as a Professor of Computer Science at Eastern Mediterranean University in Famagusta, North Cyprus. His academic journey includes a Ph.D. in Computer Science from Moscow State University and an M.S. in Applied Mathematics from Azerbaijan State University.

Dr. Bashirov’s research spans bioinformatics, Petri nets, and modeling in systems biology, with a particular focus on Petri net–based approaches for complex biochemical systems. Over the course of his career, he has published numerous peer-reviewed articles and book chapters on the application of Petri nets with extensions, and invariant-based methods to biological signaling pathways, disease modeling, and therapeutic strategy development. His work has advanced understanding in areas ranging from epidemic spreading and gene regulation to pathway analysis and drug combination prediction.

In addition to his research contributions, Dr. Bashirov has held significant academic leadership roles, including Dean of the Faculty of Arts and Sciences and Founding Acting Head of the Department of Biological Sciences at Eastern Mediterranean University. He also serves on the editorial board of the Edelweiss Applied Science and Technology Journal and has been actively engaged in scholarly service through editorial duties and peer review.

Dr. Bashirov’s work continues to bridge rigorous computational formalisms and real-world biological applications, contributing to the development of scalable, interpretable models in systems biology.


Publication Date: 26 May 2026
Publisher: Springer Nature Switzerland
Imprint: Springer
ISBN-13: 9783032200402
Format: Hardback
Page Count: 111

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