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Computational and Structural Biotechnology - Elsevier | 2024 Impact Factor:4.1 | Cite Score: 9.8 | Q1

Computational and Structural Biotechnology Journal - Elsevier

Impact Factor and Journal Rank of Computational and Structural Biotechnology

  • About: Computational and Structural Biotechnology Journal is a peer-reviewed journal published by Elsevier. It focuses on research at the intersection of computational biology and structural biotechnology. The journal provides a platform for researchers, scientists, and practitioners to publish original research articles, reviews, and perspectives that advance the understanding and application of computational methods in structural biology and biotechnology.
  • Objective: The primary objective of Computational and Structural Biotechnology Journal is to promote research and innovation in computational biology and structural biotechnology. The journal aims to explore novel methodologies, algorithms, and applications for the analysis, prediction, and design of biomolecular structures and interactions. By publishing high-quality research, the journal contributes to the advancement of computational techniques and their impact on structural biology, drug discovery, and biotechnological applications.
  • Interdisciplinary Focus: Computational and Structural Biotechnology Journal adopts an interdisciplinary approach, welcoming contributions from various fields related to computational biology, structural biology, and biotechnology, including but not limited to, Bioinformatics, Molecular Biology, Biophysics, Systems Biology, Protein Engineering, Genomics, Drug Design, Structural Genomics, Biomolecular Engineering and Synthetic Biology. This interdisciplinary perspective fosters collaboration and innovation, leading to the development of advanced computational tools and methodologies that can address the complex challenges in structural biology and biotechnology.
  • Global Reach and Impact: With a broad international readership and authorship, Computational and Structural Biotechnology Journal has a global reach and impact. Its publications contribute to the dissemination of knowledge and advancements in computational biology and structural biotechnology worldwide. The journal content influences both academic research and industrial applications, driving progress in areas such as protein structure prediction, molecular docking, protein-ligand interactions, and rational drug design.
  • High Standards and Rigorous Review: Maintaining high academic standards, Computational and Structural Biotechnology Journal conducts a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the field to ensure the quality, originality, and scientific rigor of the research. This stringent review process upholds the integrity and reputation of the journal, ensuring that only high-quality and impactful research is published.
  • Significance: Computational and Structural Biotechnology Journal plays a significant role in advancing research and practice in computational biology and structural biotechnology. By providing a platform for the publication of cutting-edge research findings, the journal contributes to the growth of knowledge and innovation in computational techniques for biotechnological applications. It serves as an essential resource for researchers, scientists, and practitioners seeking to leverage computational tools and methodologies to address the challenges and opportunities in structural biology and biotechnology.

  • Editor-in-Chief:  Gianni Panagiotou

  • Scope: The Computational and Structural Biotechnology Journal, published by Elsevier, is a reputable peer-reviewed journal that focuses on research at the intersection of computational biology and structural biotechnology. It serves as a platform for researchers, scientists, and practitioners to disseminate their findings and innovations in computational methods, structural biology, and biotechnological applications. Here is an overview of its key focus areas and scope:
  • 1. Computational Biology:
    Research on computational methods and algorithms for analyzing biological data, including sequence analysis, protein structure prediction, and molecular dynamics simulations.
    Advancements in bioinformatics, genomics, proteomics, and systems biology.
  • 2. Structural Biology:
    Topics covering experimental techniques and computational approaches for studying the structure and function of biological macromolecules, including X-ray crystallography, NMR spectroscopy, and cryo-electron microscopy (cryo-EM).
    Research on protein folding, protein-ligand interactions, and molecular recognition.
  • 3. Protein Engineering and Design:
    Advancements in protein engineering techniques for modifying protein structure and function, including rational design, directed evolution, and protein redesign.
    Research on protein-protein interactions, enzyme engineering, and design of therapeutic proteins.
  • 4. Molecular Modeling and Simulation:
    Topics covering computational modeling and simulation of biomolecular systems, including molecular docking, molecular dynamics simulations, and quantum mechanics/molecular mechanics (QM/MM) calculations.
    Research on drug discovery, protein-ligand binding kinetics, and conformational changes in biomolecules.
  • 5. Structural Bioinformatics:
    Advancements in bioinformatics tools and databases for the analysis and prediction of protein structure and function.
    Research on protein structure validation, homology modeling, and structure-based drug design.
  • 6. Systems Biology and Network Biology:
    Topics covering computational approaches to studying biological systems at the molecular level, including metabolic networks, signaling pathways, and gene regulatory networks.
    Research on network analysis, pathway modeling, and integration of omics data.
  • 7. Drug Design and Discovery:
    Advancements in computational methods for drug design, virtual screening, and structure-based drug discovery.
    Research on ligand-based drug design, pharmacophore modeling, and structure-activity relationship (SAR) analysis.<
  • 8. Biotechnological Applications:
    Topics covering the application of computational and structural biology techniques in biotechnology, including protein engineering, enzyme optimization, and metabolic engineering.
    Research on biopharmaceuticals, biofuels, and biocatalysis.
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  • Print ISSN:  20010370

    Electronic ISSN:  20010370

  • Abstracting and Indexing:  Science Citation Index Expanded, Scopus

  • Imapct Factor 2024:  4.1

  • Subject Area and Category:  Biochemistry, Genetics and Molecular Biology,Biochemistry,Biophysics ,Biotechnology,Genetics,Structural Biology ,Computer Science,Computer Science Applications

  • Publication Frequency:  

  • H Index:  92

  • Best Quartile:

    Q1:  Biochemistry

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  9.8

  • SNIP:  1.123

  • Journal Rank(SJR):  1.561