The extracellular matrix (ECM) provides biological systems with a structural framework that maintains stability throughout their tissues and organs. The network consists of macromolecules that control both chemical signalling processes and physical interactions that occur between cells and their external environment. The ECM functions as a vital component for maintaining tissue stability throughout the various stages of life, which include development, ageing, and disease advancement.
The ECM structure presents such a high level of complexity that scientists cannot obtain complete knowledge about its dynamic nature through experimental methods. Scientists depend on extracellular matrix computational modeling to investigate ECM structural characteristics, biological interactions, and mechanical behaviour of extracellular matrix systems. Researchers can study ECM behaviour through advanced simulation methods, which help them forecast biological results and investigate how cells react to different health and disease states.
Researchers may submit their research work through the special issue “Computational models of the extracellular matrix” which appears in Matrix Biology Plus. The current issue seeks to showcase research that combines computational biology with mathematical modelling and bioinformatics to study ECM behaviour in both healthy and diseased tissues..
This special issue focuses on the development and application of computational approaches for studying extracellular matrix systems. Submissions may include theoretical modelling, simulation studies, and data-driven research that advance our understanding of ECM structure and function.
The extracellular matrix functions as a flexible framework that regulates both cell communication and mechanical signal transmission in living organisms. The study of ECM behaviour represents an essential requirement for research progress in developmental biology, regenerative medicine and disease modelling.
Scientists can now use new extracellular matrix computational models, which allow them to predict ECM behaviour across different biological scales. The models enable scientists to study how molecules interact with each other and how they arrange themselves in tissues, and how tissues behave biomechanically.
The researchers study how extracellular matrix networks develop during tissue repair and cancer growth, fibrosis and ageing through their advanced ECM simulation research. The simulations deliver essential knowledge that supports laboratory experiments and allows scientists to forecast ECM-based biological activities.
This special issue encourages interdisciplinary collaboration between computational biologists, biomedical scientists, and systems researchers who study the extracellular matrix through computational methods. The combination of modelling methods and experimental findings enables scientists to create precise models of ECM behaviour, which will advance their understanding of tissue biological processes.
To publish in Matrix Biology Plus, researchers must submit research manuscripts that need proper structure and accompanying computational models and scientifically valid research methods. Our expert publication services provide comprehensive extracellular matrix research to help researchers prepare high-quality manuscripts.
Submission Deadline: 30 November 2026
To ensure successful and timely submission to the special issue “Computational models of the extracellular matrix,” researchers are encouraged to seek expert publication support from conceptualisation to final submission.
Book a free consultation to get guidance from the PhD assistance research lab for writing a credible research manuscript and submitting it in the high-quality journal.
Elsevier. (2026, March 11). Computational models of the extracellular matrix (Call for papers). Matrix Biology Plus. https://www.journals.elsevier.com/matrix-biology-plus/call-for-papers