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在小片段上存储大数据的位置及方式。

Where and how to house big data on small fragments.

作者信息

Erlanson Daniel A, Burley Stephen K, Fearon Daren, Fraser James S, Kreitler Dale, Nonato Maria Cristina, Sakai Naoki, Wollenhaupt Jan, Weiss Manfred S

机构信息

Frontier Medicines Corporation, South San Francisco, CA, USA.

RCSB Protein Data Bank, La Jolla, CA, USA.

出版信息

Nat Commun. 2025 May 5;16(1):4179. doi: 10.1038/s41467-025-59233-z.

Abstract

Fragment screening by crystallography has recently skyrocketed. Multiple synchrotrons have built specialized screening platforms, established workflows, and assembled compound libraries. Crystallographic fragment screening is now widely accessible to groups that had previously not considered the approach. While hundreds of crystallographic fragment-screening campaigns have been conducted in the last few years, most of the underlying data have neither been published nor made publicly accessible. This perspective highlights the importance of establishing effective mechanisms for preserving large and often heterogeneous groups of datasets intrinsic to crystallographic fragment-screening campaigns, thereby ensuring their accessibility for advancing research and enabling applications such as training AI-based models.

摘要

通过晶体学进行片段筛选最近发展迅速。多个同步加速器已经建立了专门的筛选平台、确立了工作流程并组建了化合物库。晶体学片段筛选现在对于那些以前没有考虑过这种方法的团队来说也广泛可用。虽然在过去几年中已经开展了数百次晶体学片段筛选活动,但大多数基础数据既未发表也未公开。本文观点强调了建立有效机制以保存晶体学片段筛选活动中固有的大量且通常异质的数据集的重要性,从而确保这些数据可用于推动研究以及支持诸如训练基于人工智能的模型等应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c065/12052810/026a2097dfb7/41467_2025_59233_Fig1_HTML.jpg

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