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Call for Papers: Computational models of the extracellular matrix

Introduction

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..

Scope

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.

  • Researchers created computational modelling methods that enable them to study extracellular matrix structures through their modelling techniques.
  • Scientists created advanced simulation methods that enable them to investigate tissue development and remodelling through their study of the extracellular matrix.
  • Scientists use computational methods to study how extracellular matrix systems control biological functions and signal transmission in living organisms.
  • Scientists use mathematical models and agent-based models to study how extracellular matrix elements move and change over time.
  • Researchers use data-driven methods to study extracellular matrix systems through their computational research methods.
  • Scientists use computational databases and repositories to study the various elements that make up extracellular matrix systems.
  • Scientists use integrative modelling methods to combine experimental data with their simulations of extracellular matrix systems.
  • Extracellular matrix research support services enable researchers to conduct studies that require multiple scientific disciplines.
  • Know More About This Issue

    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.

    extracellular matrix research support

    Key Themes

  • The research created methods for modelling extracellular matrix structures through new computational modelling techniques.
  • The research developed mathematical and computational systems for studying biological processes related to extracellular matrix elements.
  • The research developed simulation methods for extracellular matrix systems to investigate tissue formation and structural changes.
  • The research created two types of models, which included agent-based and differential equation models, to study how ECM elements interact with each other.
  • The research used computational methods to study how extracellular matrix components react during disease outbreaks and after injuries in various models.
  • The research team created data storage systems and computational research tools that enable scientists to study extracellular matrix elements through computational methods.
  • The research framework uses systems biology methods to study how extracellular matrix elements control biological signalling networks.
  • The research team created interdisciplinary scientific studies, which received funding through their programs that support extracellular matrix research activities.
  • How We Support Your Submission

    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.

  • 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.
  • Academic editing and manuscript improvement for computational extracellular research
  • Guidance for presenting extracellular matrix computational modelling results clearly
  • Assistance in describing extracellular matrix simulation methods and modelling frameworks
  • The service provides support for developing computational biology manuscripts that require submission to scientific journals
  • The service provides language editing and formatting services, which help clients achieve international journal standards
  • The service assists with the manuscript submission process and helps authors respond to reviewer feedback
  • Expert feedback to strengthen the scientific contribution of ECM modelling studies
  • Journal Guidelines:

  • Academic editing and manuscript improvement for computational extracellular matrix research
  • Guidance for presenting extracellular matrix computational modelling results clearly
  • Assistance in describing extracellular matrix methods and modelling frameworks
  • The service provides support for developing computational biology manuscripts that require submission to scientific journals
  • The service provides language editing and formatting services, which help clients achieve international journal standards.
  • The service assists with the manuscript submission process and helps authors respond to reviewer feedback.
  • Expert feedback to strengthen the scientific contribution of ECM modelling studies.
  • Important Dates

    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.

    Free Guide: How to Write the Journal Manuscript

    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.

    Reference

    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

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