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In Silico Biology - IOS Press | 2024 Cite Score:2.2 | Q4

In Silico Biology Journal With Cite Score

Cite Score and Journal Rank of In Silico Biology

  • About: In Silico Biology is a peer-reviewed academic journal dedicated to the publication of high-quality research in the field of computational biology. The journal focuses on the use of computational methods to understand biological systems and processes. It covers a broad spectrum of topics including bioinformatics, systems biology, molecular modeling, simulation of biological systems, and the development of computational tools and algorithms for biological research.
  • Objective:
    The primary objective of In Silico Biology is to advance the understanding of biological systems through computational methods. The journal aims to provide a platform for researchers to present their innovative computational approaches, models, and simulations that contribute to the study of complex biological phenomena. In Silico Biology seeks to foster interdisciplinary collaboration between computational scientists and biologists to address fundamental questions in biology.
  • Interdisciplinary Approach:
    In Silico Biology adopts an interdisciplinary approach by integrating research from biology, computer science, mathematics, and engineering. This approach ensures a comprehensive exploration of biological systems from multiple perspectives, including theoretical, computational, and experimental aspects. The journal encourages contributions that combine computational techniques with biological insights to develop new models and simulations that enhance the understanding of biological processes.
  • Impact:
    The journal has a significant impact on the field of computational biology by providing a specialized platform for the dissemination of pioneering research. In Silico Biology is widely cited by researchers interested in the application of computational methods to biological questions. The research published in the journal contributes to the development of new computational tools and models that facilitate biological discoveries and advancements.
  • Significance:
    In Silico Biology plays a crucial role in the advancement of computational biology by promoting the development and application of computational methods to study biological systems. Its focus on both theoretical and practical aspects makes it an essential resource for researchers, educators, and practitioners in the field. By facilitating the exchange of knowledge and ideas, In Silico Biology supports the continued innovation and enhancement of computational approaches, ultimately contributing to the broader understanding of biological systems and processes.

  • Editor-in-Chief:  Matteo Barberi

  • Scope: The In Silico Biology journal focuses on the use of computational models and simulations to understand biological systems. Its scope includes, but is not limited to:
  • Computational Biology: Research on algorithms, models, and software tools for the analysis of biological data and the simulation of biological processes.
  • Bioinformatics: Studies on the development and application of computational methods for the storage, retrieval, and analysis of biological data, including genomic, proteomic, and metabolomic data.
  • Systems Biology: Contributions on the integration of biological data and the development of models to understand the complex interactions within biological systems.
  • Structural Biology: Research on computational approaches to study the structure, dynamics, and function of biological macromolecules.
  • Drug Design and Discovery: Studies on computational methods for drug design, including molecular docking, virtual screening, and quantitative structure-activity relationship (QSAR) modeling.
  • Genomics and Proteomics: Contributions on computational analyses of genomic and proteomic data, including sequence alignment, gene prediction, and protein structure prediction.
  • Cell and Molecular Modeling: Research on the use of computational models to simulate cellular and molecular processes, such as signal transduction, gene regulation, and metabolic pathways.
  • Evolutionary Biology: Studies on the use of computational methods to study evolutionary processes, phylogenetics, and population genetics.
  • Neuroscience: Contributions on computational models of neural systems, brain function, and cognitive processes.
  • Mathematical Biology: Research on the application of mathematical techniques to model and analyze biological systems and processes.
  • Biophysics: Studies on the use of computational methods to understand the physical principles underlying biological phenomena.
  • Simulation of Complex Biological Systems: Contributions on the development and application of simulation techniques to study complex biological systems, including ecosystems and organismal development.
  • Computational Biomarker Discovery: Research on the identification of biomarkers for diseases and conditions using computational approaches.
  • Personalized Medicine: Studies on the application of computational methods to develop personalized treatment plans based on individual genetic and molecular profiles.
  • Artificial Intelligence in Biology: Contributions on the use of AI and machine learning techniques to analyze biological data and model biological systems.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  13866338

    Electronic ISSN:  14343207

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Biochemistry, Genetics and Molecular Biology, Genetics, Molecular Biology, Computer Science, Computational Theory and Mathematics, Mathematics, Computational Mathematics, Medicine, Medicine (miscellaneous)

  • Publication Frequency:  

  • H Index:  49

  • Best Quartile:

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    Q4:  Computational Mathematics

  • Cite Score:  2.2

  • SNIP:  0.104

  • Journal Rank(SJR):  0.156