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.
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.