Suppr超能文献

构象灵活的核糖结合蛋白的小角X射线散射/广角X射线散射数据

SAXS/WAXS data of conformationally flexible ribose binding protein.

作者信息

Choudhury Jagrity, Yonezawa Kento, Anu Anu, Shimizu Nobutaka, Chaudhuri Barnali

机构信息

GN Ramachandran Protein Center, CSIR Institute of Microbial Technology, Chandigarh 160036, India.

Structural Biology Research Center, Institute of Materials Structure Science, High Energy Accelerator Research Organization (KEK), 1-1 Oho, Tsukuba, Ibaraki 305-0801, Japan.

出版信息

Data Brief. 2023 Dec 9;52:109932. doi: 10.1016/j.dib.2023.109932. eCollection 2024 Feb.

Abstract

Modern artificial intelligence-based protein structure prediction methods, such as Alphafold2, can predict structures of folded proteins with reasonable accuracy. However, Alphafold2 provides a static view of a protein, which does not show the conformational variability of the protein, domain movement in a multi-domain protein, or ligand-induced conformational changes it might undergo in solution. Small-angle X-ay scattering (SAXS) and wide-angle X-ray scattering (WAXS) are solution techniques that can aid in integrative modeling of conformationally flexible proteins, or in validating their predicted ensemble structures. While SAXS is sensitive to global structural features, WAXS can expand the scope of structural modeling by including information about local structural changes. We present SAXS and WAXS datasets obtained from conformationally flexible d-ribose binding protein (RBP) from in the ribose bound and unbound forms. SAXS/WAXS datasets of RBP provided here may aid in method development efforts for more accurate prediction of structural ensembles of conformationally flexible proteins, and their conformational changes.

摘要

现代基于人工智能的蛋白质结构预测方法,如阿尔法折叠2(Alphafold2),能够以合理的准确度预测折叠蛋白质的结构。然而,阿尔法折叠2提供的是蛋白质的静态视图,无法展示蛋白质的构象变异性、多结构域蛋白质中的结构域运动,或其在溶液中可能经历的配体诱导的构象变化。小角X射线散射(SAXS)和广角X射线散射(WAXS)是溶液技术,可有助于对构象灵活的蛋白质进行整合建模,或验证其预测的整体结构。虽然SAXS对整体结构特征敏感,但WAXS可以通过纳入有关局部结构变化的信息来扩大结构建模的范围。我们展示了从处于核糖结合和未结合形式的[具体来源未给出]的构象灵活的d-核糖结合蛋白(RBP)获得的SAXS和WAXS数据集。此处提供的RBP的SAXS/WAXS数据集可能有助于开发更准确预测构象灵活蛋白质的结构整体及其构象变化的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f56c/10764985/e08aba296f17/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验