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Combinatorial Chemistry and High Throughput Screening - Bentham | 2024 Impact Factor: 1.7 | Cite Score:3.5 | Q3

Combinatorial Chemistry and High Throughput Screening Journal

Impact Factor and Journal Rank of Combinatorial Chemistry and High Throughput Screening

  • About: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes high-quality research articles, reviews, and short communications on all aspects of combinatorial chemistry and high throughput screening. The journal emphasizes methodologies, technologies, and applications that enhance the efficiency of drug discovery processes.
  • Objectives
    The primary objectives of the journal are:
  • Method Development: To advance the development of novel combinatorial chemistry techniques and high throughput screening methods.
  • Technological Innovations: To present innovative technologies that improve the efficiency and effectiveness of screening processes.
  • Drug Discovery Applications: To demonstrate the practical application of these methods in drug discovery and development.
  • Interdisciplinary Research: To foster interdisciplinary research that integrates chemistry, biology, and computational science.
  • Key Topics Covered
    Combinatorial Chemistry: Techniques for creating large libraries of chemical compounds through systematic variation.
    High Throughput Screening (HTS): Methods and technologies for rapidly screening large numbers of compounds for biological activity.
    Chemical Library Design: Strategies for designing and synthesizing diverse chemical libraries for screening purposes.
    Automation in Screening: Development and application of automated systems for high throughput screening.
    Bioinformatics in HTS: Use of computational tools and algorithms to analyze high throughput screening data.
    Hit Identification and Optimization: Techniques for identifying and optimizing lead compounds from screening campaigns.
    Assay Development: Creation and validation of assays for use in high throughput screening.
    Drug Discovery Case Studies: Practical applications of combinatorial chemistry and HTS in discovering new therapeutic agents.
  • Impact and Significance
    Combinatorial Chemistry & High Throughput Screening contributes significantly to:
  • Advancing Drug Discovery: By publishing cutting-edge research and technological advancements that enhance drug discovery processes.
    Efficiency in Screening: By promoting methodologies that improve the speed and accuracy of high throughput screening.
    Technological Progress: By encouraging the development of innovative tools and technologies for combinatorial chemistry and screening.
    Interdisciplinary Collaboration: By fostering collaboration among chemists, biologists, and computational scientists to address complex challenges in drug discovery.

  • Editor-in-Chief:  Gerald H. Lushington

  • Scope: Combinatorial Chemistry and High Throughput Screening is a prominent journal that focuses on the development and application of combinatorial chemistry and high throughput screening techniques. The journal serves as a platform for researchers to share innovative methods and findings that accelerate the discovery and optimization of new compounds and materials.
  • Combinatorial Chemistry and High Throughput Screening publishes cutting-edge research contributions in the following areas:
  • Combinatorial Chemistry: Development and application of combinatorial approaches for the synthesis of large libraries of chemical compounds, including small molecules, peptides, and polymers.
  • High Throughput Screening (HTS): Techniques and technologies for the rapid screening of large compound libraries to identify active compounds, including advancements in automation, assay development, and data analysis.
  • Drug Discovery: Application of combinatorial chemistry and HTS in the discovery and optimization of new drug candidates, including case studies and practical applications.
  • Materials Science: Use of combinatorial methods and HTS in the discovery and optimization of new materials with desired properties, such as catalysts, coatings, and nanomaterials.
  • Analytical Techniques: Development of novel analytical methods and instrumentation to support combinatorial chemistry and high throughput screening efforts.
  • Data Analysis and Informatics: Approaches for managing, analyzing, and interpreting the large datasets generated by combinatorial chemistry and HTS experiments, including cheminformatics and bioinformatics tools.
  • Scope: Combinatorial Chemistry and High Throughput Screening is a prominent journal that focuses on the development and application of combinatorial chemistry and high throughput screening techniques. The journal serves as a platform for researchers to share innovative methods and findings that accelerate the discovery and optimization of new compounds and materials.
  • Combinatorial Chemistry and High Throughput Screening publishes cutting-edge research contributions in the following areas:
  • Combinatorial Chemistry: Development and application of combinatorial approaches for the synthesis of large libraries of chemical compounds, including small molecules, peptides, and polymers.
  • High Throughput Screening (HTS): Techniques and technologies for the rapid screening of large compound libraries to identify active compounds, including advancements in automation, assay development, and data analysis.
  • Drug Discovery: Application of combinatorial chemistry and HTS in the discovery and optimization of new drug candidates, including case studies and practical applications.
  • Materials Science: Use of combinatorial methods and HTS in the discovery and optimization of new materials with desired properties, such as catalysts, coatings, and nanomaterials.
  • Analytical Techniques: Development of novel analytical methods and instrumentation to support combinatorial chemistry and high throughput screening efforts.
  • Data Analysis and Informatics: Approaches for managing, analyzing, and interpreting the large datasets generated by combinatorial chemistry and HTS experiments, including cheminformatics and bioinformatics tools.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  13862073

    Electronic ISSN:   18755402

  • Abstracting and Indexing:  Scopus, SCIE

  • Imapct Factor 2024:   1.7

  • Subject Area and Category:   Chemistry, Organic Chemistry, Computer Science, Computer Science Applications, Medicine, Medicine (miscellaneous), Pharmacology, Toxicology and Pharmaceutics, Drug Discovery

  • Publication Frequency:  

  • H Index:  73

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Computer Science Applications

    Q4:  

  • Cite Score:  3.5

  • SNIP:  0.381

  • Journal Rank(SJR):  0.361