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《JOURNAL OF MOLECULAR GRAPHICS & MODELLING》杂志封面

《JOURNAL OF MOLECULAR GRAPHICS & MODELLING》中科院JCR分区

  • 2025年3月升级版:
  • 大类小类学科Top综述期刊
    生物学 4区
    CRYSTALLOGRAPHY
    晶体学
    2区
    BIOCHEMICAL RESEARCH METHODS
    生化研究方法
    4区
    BIOCHEMISTRY & MOLECULAR BIOLOGY
    生化与分子生物学
    4区
    COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
    计算机:跨学科应用
    4区
    MATHEMATICAL & COMPUTATIONAL BIOLOGY
    数学与计算生物学
    4区

  • 2023年12月升级版:
  • 大类小类学科Top综述期刊
    生物学 4区
    CRYSTALLOGRAPHY
    晶体学
    3区
    BIOCHEMICAL RESEARCH METHODS
    生化研究方法
    4区
    BIOCHEMISTRY & MOLECULAR BIOLOGY
    生化与分子生物学
    4区
    COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
    计算机:跨学科应用
    4区
    MATHEMATICAL & COMPUTATIONAL BIOLOGY
    数学与计算生物学
    4区

    《JOURNAL OF MOLECULAR GRAPHICS & MODELLING》期刊简介:

    The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design.

    As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.

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