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International Journal of Computational Biology and Drug Design - Inderscience | 2024 Cite Score:1.0 | Q4

International Journal of Computational Biology and Drug Design With Cite Score

Cite Score and Journal Rank of International Journal of Computational Biology and Drug Design

  • About: International Journal of Computational Biology and Drug Design is a peer-reviewed journal that focuses on the application of computational methods and techniques to the fields of biology and drug design. It aims to advance the understanding and development of computational tools and methodologies that support research in these areas.
  • Objective: The primary objective of the International Journal of Computational Biology and Drug Design is to publish high-quality research that explores the use of computational approaches in biology and drug design. The journal seeks to advance the understanding of biological systems and drug development processes through the application of computational models, algorithms, and simulations. It aims to provide a platform for sharing innovative research that enhances the design and discovery of new drugs and improves the understanding of complex biological processes.
  • Interdisciplinary Approach: The journal adopts an interdisciplinary approach by integrating research from various fields such as computational biology, bioinformatics, cheminformatics, systems biology, and pharmacology. This approach allows for a comprehensive exploration of how computational methods can be applied to solve problems in biology and drug design. By promoting collaboration among researchers from different disciplines, the journal supports the development of integrated solutions and new methodologies that address complex challenges in these fields.
  • Impact and Significance: The International Journal of Computational Biology and Drug Design is significant for its role in advancing the use of computational methods in biological and pharmaceutical research. The journals impact is reflected in its contributions to the development of new computational tools and techniques that enhance the understanding of biological systems and support drug discovery and development. By providing a platform for cutting-edge research, the journal helps drive innovation and progress in these critical areas.

  • Editor-in-Chief:  Dr. Zhongming Zhao

  • Scope: International Journal of Computational Biology and Drug Design is a peer-reviewed journal that focuses on the application of computational methods to the fields of biology and drug design. It publishes research that integrates computational techniques with biological and pharmaceutical sciences.
    1. Computational Biology: Research on the use of computational techniques to understand biological systems, including genomics, proteomics, systems biology, and bioinformatics.
  • Drug Design and Discovery: Studies on computational approaches to drug design, including molecular modeling, structure-based drug design, virtual screening, and cheminformatics.
  • Bioinformatics: Research on algorithms and software tools for analyzing biological data, such as sequence analysis, gene expression analysis, and protein structure prediction.
  • Molecular Modeling: Articles focusing on the use of computational models to study molecular structures and interactions, including molecular dynamics simulations, docking studies, and quantum mechanics.
  • Systems Biology: Research on the computational modeling of biological systems and networks, including gene regulatory networks, metabolic pathways, and cellular interactions.
  • Pharmacokinetics and Pharmacodynamics: Studies on the computational analysis of drug absorption, distribution, metabolism, and excretion (ADME), as well as the effects and mechanisms of drugs in the body.
  • Computational Genomics: Research on the application of computational tools to analyze genomic data, including genome-wide association studies (GWAS), genetic variation analysis, and evolutionary studies.
  • Drug Toxicity Prediction: Articles on computational methods for predicting drug toxicity and safety, including in silico toxicology and predictive modeling of adverse drug reactions.
  • Biomedical Data Analysis: Studies on the analysis of biomedical data using computational techniques, including statistical analysis, machine learning, and data mining.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  1756-0756

    Electronic ISSN:  1756-0764

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:  Computer Science,Computer Science Applications,Pharmacology, Toxicology and Pharmaceutics,Drug Discovery

  • Publication Frequency:  

  • H Index:  17

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  

    Q4:  Computer Science Applications

  • Cite Score:  1.0

  • SNIP:  0.144

  • Journal Rank(SJR):  0.197