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

K<sub>D</sub>SAXS is a computational tool for estimating dissociation constants (K<sub>D</sub>) from small-angle X-ray scattering (SAXS) titration experiments. By combining ensemble analysis with mass-balance equations, K<sub>D</sub>SAXS 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, K<sub>D</sub>SAXS 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 K<sub>D</sub>SAXS to systems such as beta-lactoglobulin oligomerization and the PCNA-p15PAF complex highlight its capacity to resolve complex equilibria and deliver accurate K<sub>D</sub> estimations. As an open-source platform, K<sub>D</sub>SAXS bridges computational and experimental methodologies, advancing SAXS-based analysis of macromolecular interactions and enhancing insights into dynamic biological systems. K<sub>D</sub>SAXS is freely accessible as a web server at https://kdsaxs.itqb.unl.pt.

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Publication Details

Journal
Journal of Molecular Biology
Published
2025-03-27
DOI
https://doi.org/10.1016/j.jmb.2025.169103
Citations
1
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
0.81
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KDSAXS: A Tool for Analyzing Binding Equilibria With SAXS Data Using Explicit Models

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1 citations
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article

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

Pau Bernadó, Tiago N. Cordeiro, Tiago Gomes, António L. Baptista, Pau Martín-Malpartida, María Jesús Macías, Lidia Ruíz
article en
1 citations

Abstract

K<sub>D</sub>SAXS is a computational tool for estimating dissociation constants (K<sub>D</sub>) from small-angle X-ray scattering (SAXS) titration experiments. By combining ensemble analysis with mass-balance equations, K<sub>D</sub>SAXS 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, K<sub>D</sub>SAXS 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 K<sub>D</sub>SAXS to systems such as beta-lactoglobulin oligomerization and the PCNA-p15PAF complex highlight its capacity to resolve complex equilibria and deliver accurate K<sub>D</sub> estimations. As an open-source platform, K<sub>D</sub>SAXS bridges computational and experimental methodologies, advancing SAXS-based analysis of macromolecular interactions and enhancing insights into dynamic biological systems. K<sub>D</sub>SAXS is freely accessible as a web server at https://kdsaxs.itqb.unl.pt.

Journal of Molecular BiologyVol. 437(15)
Centre National de la Recherche Scientifique (FR), Inserm (FR), Université de Montpellier (FR), Centre de Biologie Structurale (FR), Institute for Research in Biomedicine (ES), Universidade Nova de Lisboa (PT)
Openalex Percentile: Top 30%
Protein Structure and Dynamics
0.81
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