Protein-small molecule interaction is vital in regulating protein functions and controlling various cellular processes. Hydrogen deuterium exchange mass spectrometry (HDX-MS) is a powerful methodology to study protein-small molecule interactions, however, to accurately probe the conformational dynamics of the protein upon small molecule binding, the HDX-MS experimental conditions should be carefully controlled and optimized. Here, we present the detailed continuous-labeling, bottom-up HDX-MS protocol for studying protein-small molecule interactions. We took a side-by-side HDX kinetics comparison of the Hsp90N protein with or without the treatment of small molecules (.., Radicicol, Geldanamycin) for displaying conformational changes induced by molecular interactions between Hsp90N and small molecules. Our sensitive and robust experimental protocol can facilitate the novice to quickly carry out the structural characterization of protein-small molecule interactions.
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http://dx.doi.org/10.52601/bpr.2023.230006 | DOI Listing |
Phytomedicine
January 2025
Division of Pulmonary Diseases, State Key Laboratory of Biotherapy, and Department of Respiratory and Critical Care Medicine, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China. Electronic address:
Background: Chronic obstructive pulmonary disease (COPD) imposes a significant global health and socioeconomic burden. Exacerbations of COPD (ECOPD), characterized by heightened airway inflammation and mucus hypersecretion, adversely affect patient health and accelerate disease progression. Qingke Pingchuan (QKPC) granules, a formulation from Traditional Chinese Medicine initially prescribed for acute bronchitis, have shown unexplored potential in ECOPD management, with mechanisms of action yet to be clarified.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
December 2024
HHMI, University of Michigan, Ann Arbor, MI 48109.
Intrinsically disordered protein regions (IDRs) are well established as contributors to intermolecular interactions and the formation of biomolecular condensates. In particular, RNA-binding proteins (RBPs) often harbor IDRs in addition to folded RNA-binding domains that contribute to RBP function. To understand the dynamic interactions of an IDR-RNA complex, we characterized the RNA-binding features of a small (68 residues), positively charged IDR-containing protein, Small ERDK-Rich Factor (SERF).
View Article and Find Full Text PDFCommun Inf Syst
October 2024
Dalton Cardiovascular Research Center, University of Missouri-Columbia.
Molecular docking stands as a pivotal element in the realm of computer-aided drug design (CADD), consistently contributing to advancements in pharmaceutical research. In essence, it employs computer algorithms to identify the "best" match between two molecules, akin to solving intricate three-dimensional jigsaw puzzles. At a more stringent level, the molecular docking challenge entails predicting the accurate bound association state based on the atomic coordinates of two molecules.
View Article and Find Full Text PDFNucleic Acids Res
January 2025
Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA 92093, USA.
BindingDB (bindingdb.org) is a public, web-accessible database of experimentally measured binding affinities between small molecules and proteins, which supports diverse applications including medicinal chemistry, biochemical pathway annotation, training of artificial intelligence models and computational chemistry methods development. This update reports significant growth and enhancements since our last review in 2016.
View Article and Find Full Text PDFJ Cheminform
November 2024
MOE Key Laboratory of Bioinformatics, State Key Laboratory of Molecular Oncology, Beijing Frontier Research Center for Biological Structure, School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China.
Predicting protein-small molecule binding sites, the initial step in structure-guided drug design, remains challenging for proteins lacking experimentally derived ligand-bound structures. Here, we propose CLAPE-SMB, which integrates a pre-trained protein language model with contrastive learning to provide high accuracy predictions of small molecule binding sites that can accommodate proteins without a published crystal structure. We trained and tested CLAPE-SMB on the SJC dataset, a non-redundant dataset based on sc-PDB, JOINED, and COACH420, and achieved an MCC of 0.
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