Aims & Scope

Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. CSBJ is composed of the following Sections:

    CSBJ: General Section
    CSBJ: The Smart Hospital Section
    CSBJ: Nanoscience & Advanced Materials Section
    CSBJ: Quantum Biology & Biophotonics Section

CSBJ: General Section focuses on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in this section. For more details and specific areas of interest within this section, please visit: https://www.csbj.org/

CSBJ: The Smart Hospital Section focuses on new digital and automated technologies transforming health and care systems. Clinical and piloting data may provide practical insights on implementing digital and automated technologies in real-world smart hospital setting, but they are not a pre-requisite for publication in this section. For more details and specific areas of interest within this section, please visit: https://csbj-smarthospital.org/

CSBJ: Nanoscience and Advanced Materials Section focuses on advancing the scientific knowledge and technological innovation at the crossroads of nanoscience, materials science, chemistry, physics, and biomedical engineering. The section welcomes submissions covering a wide spectrum of topics within the overarching domains of nanoscience and advanced materials, enhancing our understanding of the nanoscale world and its transformative applications. For more details and specific areas of interest within this section, please visit: http://csbj-nano.org/

CSBJ: Quantum Biology and Biophotonics Section places a strong transdisciplinary emphasis on understanding biological systems that potentially harness quantum-mechanical processes. This section also focuses on the development and application of optics and photonic tools, methods, and technologies to address questions in quantum biology and its implications for biomedical and health sciences. Studies based on experimental approaches, computational simulations, and theoretical developments that are focused on this emphasis are welcome but are not a prerequisite for publication in this section. For more details and specific areas of interest within this section, please visit: http://csbj-qbio.org/

The journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence and enables the rapid publication of papers under the following categories:

    Research Articles
    Review Articles
    Mini Reviews
    Innovation Reports
    Short Communications
    Method Articles
    Database Articles
    Software/Web Server Articles
    Editorials

CSBJ is published by Elsevier on behalf of Research Networks.

Special Issue on Advanced Computational Tools for Biomedical Informatics: Databases, Algorithms, Tool Development, and Mechanistic Insights
截稿日期: 2026-03-31

As a multidisciplinary field, biomedical informatics often involves computational studies that aim to advance our understanding of biological systems and improve healthcare outcomes. It concerns a variety of data types, including multi-omics, molecular structures, biological networks and medical images. Analyzing multi-omics data, such as genomics, transcriptomics, proteomics and metabolomics, facilitates the identification of functional elements and enhances our understanding of complex biological processes. Crucial for understanding protein function and interactions, analyzing the three-dimensional structures of biomolecules has been widely employed in structure-activity relationship modelling and pharmaceutical development. Biological network analysis aims to study interactions within biological systems, such as protein-protein interactions and gene regulatory networks, to reveal the dynamics of biological systems and the mechanisms underlying complex functions. Medical image analysis leverages computational tools to interpret medical images (e.g. MRI, CT scans and X-rays), leading to improved diagnostics, personalized treatment plan, and better patient outcomes.

Guest editors:

Debby Dan Wang
Assistant Professor in Structural Bioinformatics
School of Science and Technology
Hong Kong Metropolitan University
Hong Kong
Email: dwang@hkmu.edu.hk

Le Ou-Yang
Professor in Bioinformatics
Faculty of Engineering
Shenzhen MSU-BIT University
Shenzhen, China
Email: leouyang@smbu.edu.cn 

Wei Zhang
Associate Professor in Computer Science
Department of Computer Science (Genomics and Bioinformatics Cluster)
University of Central Florida
Orlando, United States
Email: wzhang.cs@ucf.edu 

Lu Zhang
Associate Professor in Computer Science
Department of Computer Science
Hong Kong Baptist University
Hong Kong
Email: ericluzhang@hkbu.edu.hk

Special issue information:

In this special issue, we will explore the potential of computational modelling in a wide variety of applications in biomedical informatics.

Possible research topics include but are not limited to:

    Databases: Curation, integration and maintenance of databases for biomedical data.
    Algorithms: Development and application of algorithms for multi-omics, structural, biological-network and biomedical-image analysis.
    Tool Development: Development of software tools for multi-level biomedical analysis, and the design of innovative data visualization techniques.
    Mechanistic Insights: Computational simulation of biological processes and disease mechanisms, and the interpretation of computational models to propose mechanistic hypotheses.
    AI-driven analysis: Machine learning and artificial intelligence techniques for biomedical data analysis, and especially those applications with high transparency.
    Go beyond: Other advanced computational techniques for multi-omics, structural, biological-network and biomedical-image analysis.