KDSAXS: A Tool for Analyzing Binding Equilibria With SAXS Data Using Explicit Models.

IF 4.7 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Tiago Gomes, Lidia Ruiz, Pau Martin-Malpartida, Pau Bernadó, António M Baptista, Maria J Macias, Tiago N Cordeiro
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引用次数: 0

Abstract

KDSAXS is a computational tool for estimating dissociation constants (KD) from small-angle X-ray scattering (SAXS) titration experiments. By combining ensemble analysis with mass-balance equations, KDSAXS effectively models complex equilibria involving multiple species, ranging from simple oligomerization to transient and multivalent interactions, including intrinsically disordered proteins. For each species in equilibrium, the tool supports the integration of theoretical scattering profiles derived from ensemble structural models, X-ray crystallography, NMR, AlphaFold predictions, or molecular dynamics simulations. With its intuitive dashboard interface, KDSAXS enables researchers to input SAXS titration data, validate structural models and interactions, and compute species-specific scattering profiles. Additionally, it determines the relative populations of biomolecular species in equilibrium across user-defined Kᴅ ranges and concentrations. Applications of KDSAXS to systems such as beta-lactoglobulin oligomerization and the PCNA-p15PAF complex highlight its capacity to resolve complex equilibria and deliver accurate KD estimations. As an open-source platform, KDSAXS bridges computational and experimental methodologies, advancing SAXS-based analysis of macromolecular interactions and enhancing insights into dynamic biological systems. KDSAXS is freely accessible as a web server at https://kdsaxs.itqb.unl.pt.

KDSAXS:一个用显式模型分析SAXS数据的绑定均衡的工具。
KDSAXS是一个估算小角x射线散射(SAXS)滴定实验中解离常数(KD)的计算工具。通过将系综分析与质量平衡方程相结合,KDSAXS有效地模拟了涉及多物种的复杂平衡,从简单的寡聚化到瞬态和多价相互作用,包括内在无序的蛋白质。对于处于平衡状态的每种物质,该工具支持从系综结构模型、x射线晶体学、核磁共振、AlphaFold预测或分子动力学模拟中获得的理论散射剖面的集成。凭借其直观的仪表板界面,KDSAXS使研究人员能够输入SAXS滴定数据,验证结构模型和相互作用,并计算物种特定的散射剖面。此外,它还确定了在用户定义的K -十位和浓度范围内平衡的生物分子物种的相对种群。KDSAXS在β -乳球蛋白寡聚化和pna - p15paf复合物等系统中的应用突出了其解决复杂平衡和提供准确KD估计的能力。作为一个开源平台,KDSAXS连接了计算和实验方法,推进了基于sax的大分子相互作用分析,增强了对动态生物系统的见解。KDSAXS作为web服务器可在https://kdsaxs.itqb.unl.pt免费访问。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Molecular Biology
Journal of Molecular Biology 生物-生化与分子生物学
CiteScore
11.30
自引率
1.80%
发文量
412
审稿时长
28 days
期刊介绍: Journal of Molecular Biology (JMB) provides high quality, comprehensive and broad coverage in all areas of molecular biology. The journal publishes original scientific research papers that provide mechanistic and functional insights and report a significant advance to the field. The journal encourages the submission of multidisciplinary studies that use complementary experimental and computational approaches to address challenging biological questions. Research areas include but are not limited to: Biomolecular interactions, signaling networks, systems biology; Cell cycle, cell growth, cell differentiation; Cell death, autophagy; Cell signaling and regulation; Chemical biology; Computational biology, in combination with experimental studies; DNA replication, repair, and recombination; Development, regenerative biology, mechanistic and functional studies of stem cells; Epigenetics, chromatin structure and function; Gene expression; Membrane processes, cell surface proteins and cell-cell interactions; Methodological advances, both experimental and theoretical, including databases; Microbiology, virology, and interactions with the host or environment; Microbiota mechanistic and functional studies; Nuclear organization; Post-translational modifications, proteomics; Processing and function of biologically important macromolecules and complexes; Molecular basis of disease; RNA processing, structure and functions of non-coding RNAs, transcription; Sorting, spatiotemporal organization, trafficking; Structural biology; Synthetic biology; Translation, protein folding, chaperones, protein degradation and quality control.
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