ADAMTS13 regulates the multimeric size of von Willebrand factor (VWF). Its function is highly dependent upon Ca(2+) ions. Using the initial rates of substrate (VWF115, VWF residues 1554-1668) proteolysis by ADAMTS13 preincubated with varying Ca(2+) concentrations, a high-affinity functional ADAMTS13 Ca(2+)-binding site was suggested with K(D(app)) of 80 muM (+/- 15 muM) corroborating a previously reported study. When Glu83 or Asp173 (residues involved in a predicted Ca(2+)-binding site in the ADAMTS13 metalloprotease domain) were mutated to alanine, Ca(2+) dependence of proteolysis of the substrate was unaffected. Consequently, we sought and identified a candidate Ca(2+)-binding site in proximity to the ADAMTS13 active site, potentially comprising Glu184, Asp187, and Glu212. Mutagenesis of these residues within this site to alanine dramatically attenuated the K(D(app)) for Ca(2+) of ADAMTS13, and for D187A and E212A also reduced the V(max) to approximately 25% of normal. Kinetic analysis of the Asp187 mutant in the presence of excess Ca(2+) revealed an approximately 13-fold reduction in specificity constant, k(cat)/K(m), contributed by changes in both K(m) and k(cat). These results were corroborated using plasma-purified VWF as a substrate. Together, our results demonstrate that a major influence of Ca(2+) upon ADAMTS13 function is mediated through binding to a high-affinity site adjacent to its active site cleft.
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http://dx.doi.org/10.1182/blood-2008-03-144683 | DOI Listing |
IET Syst Biol
January 2025
School of Computer Science and Technology, Baotou Medical College, Baotou, China.
Metal ions are significant ligands that bind to proteins and play crucial roles in cell metabolism, material transport, and signal transduction. Predicting the protein-metal ion ligand binding residues (PMILBRs) accurately is a challenging task in theoretical calculations. In this study, the authors employed fused amino acids and their derived information as feature parameters to predict PMILBRs using three classical machine learning algorithms, yielding favourable prediction results.
View Article and Find Full Text PDFbioRxiv
January 2025
Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Background And Purpose: Polycystins (PKD2, PKD2L1) are voltage-gated and Ca-modulated members of the transient receptor potential (TRP) family of ion channels. Loss of PKD2L1 expression results in seizure-susceptibility and autism-like features in mice, whereas variants in PKD2 cause autosomal dominant polycystic kidney disease. Despite decades of evidence clearly linking their dysfunction to human disease and demonstrating their physiological importance in the brain and kidneys, the polycystin pharmacophore remains undefined.
View Article and Find Full Text PDFJ Biol Chem
January 2025
Department of Physiology, School of Medicine, University of Maryland Baltimore, Baltimore, MD, 21201, USA. Electronic address:
Sarcoplasmic/endoplasmic reticulum Ca-ATPase1 (SERCA1) is responsible for the clearance of cytosolic Ca in skeletal muscle. Due to its vital importance in regulating Ca homeostasis, the regulation of SERCA1 has been intensively studied. Small ankyrin 1 (sAnk1, Ank1.
View Article and Find Full Text PDFBiomolecules
January 2025
Photosynthesis Research Center, Key Laboratory of Photobiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
The genome of the mildly thermophilic hot spring purple sulfur bacterium, (.) , contains a multigene family that encodes a series of α- and β-polypeptides, collectively forming a heterogeneous light-harvesting 1 (LH1) complex. The LH1, therefore, offers a unique model for studying an intermediate phenotype between phototrophic thermophilic and mesophilic bacteria, particularly regarding their LH1 transition and moderately enhanced thermal stability.
View Article and Find Full Text PDFComput Struct Biotechnol J
December 2024
Department of Electrical Engineering and Computer Science, Bond Life Sciences Center, University of Missouri, Columbia, MO, USA.
More than 50 % of proteins bind to metal ions. Interactions between metal ions and proteins, especially coordinated interactions, are essential for biological functions, such as maintaining protein structure and signal transport. Physiological metal-ion binding prediction is pivotal for both elucidating the biological functions of proteins and for the design of new drugs.
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