4D结构生物学-第九届摩瑙结构生物学会议

IF 4.4 2区生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Structure Pub Date : 2025-01-02 DOI:10.1016/j.str.2024.11.012

Janosch Hennig, Cristina Paulino

引用次数: 0

摘要

2024年9月18日至21日举行的第9届国际摩瑙会议是中欧最大的经常性结构生物学会议，该会议上展示的数据说明了结构生物学社区的繁荣状态。这在很大程度上归功于过去十年的突破性发展，会议期间对此进行了热烈讨论。

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4D structural biology—The 9th Murnau Conference on structural biology

The data presented at the 9^th International Murnau Conference on September 18–21, 2024, the largest recurring structural biology meeting in Central Europe, illustrated the thriving state of the structural biology community. This is largely attributed to the ground-breaking developments over the last decade, which were intensely discussed during the meeting.

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来源期刊

Structure 生物-生化与分子生物学

CiteScore

8.90

自引率

1.80%

发文量

155

审稿时长

3-8 weeks

期刊介绍： 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.