0969-2126
4.4
否
不在预警名单内
否
Q1区
1993
Monthly
生物学
ENGLAND
Cell Press
SCIE,Scopus
136
6.8
-
Structure aims to publish papers of exceptional interest in the field of structural biology. The journal strives to be essential reading for structural biologists, as well as biologists and biochemists that are interested in macromolecular structure and function. Structure strongly encourages the submission of manuscripts that present structural and molecular insights into biological function and mechanism. Other reports that address fundamental questions in structural biology, such as structure-based examinations of protein evolution, folding, and/or design, will also be considered. We will consider the application of any method, experimental or computational, at high or low resolution, to conduct structural investigations, as long as the method is appropriate for the biological, functional, and mechanistic question(s) being addressed. Likewise, reports describing single-molecule analysis of biological mechanisms are welcome. In general, the editors encourage submission of experimental structural studies that are enriched by an analysis of structure-activity relationships and will not consider studies that solely report structural information unless the structure or analysis is of exceptional and broad interest. Studies reporting only homology models, de novo models, or molecular dynamics simulations are also discouraged unless the models are informed by or validated by novel experimental data; rationalization of a large body of existing experimental evidence and making testable predictions based on a model or simulation is often not considered sufficient.
《结构》旨在发表结构生物学领域的特别感兴趣的论文。该杂志致力于成为结构生物学家以及对大分子结构和功能感兴趣的生物学家和生物化学家的必备阅读。《结构》杂志强烈鼓励读者提交有关生物功能和机制的结构和分子见解的手稿。其他的报告,解决结构生物学的基本问题,如结构为基础的检查蛋白质进化,折叠,和/或设计,也将考虑。我们将考虑应用任何方法(实验或计算),以高或低分辨率进行结构研究,只要该方法适用于所解决的生物学、功能和机制问题。同样,描述生物学机制的单分子分析的报告也是受欢迎的。一般而言,编辑鼓励提交通过分析结构-活性关系而丰富的实验结构研究,不会考虑仅报告结构信息的研究,除非结构或分析具有特殊和广泛的意义。也不鼓励仅报告同源性模型、从头模型或分子动力学模拟的研究,除非模型由新的实验数据提供信息或验证;对大量现有的实验证据进行合理化并根据模型或模拟做出可测试的预测通常被认为是不够的。
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如果你是第一次发表SCI的话,我还是建议你啊,花钱找一个好的老师,一呢是让你尽快拿到一个结果,有一个好的开始啊,二是为了摸清套路,也对自己未来的科研路呢,能起到
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