TY - JOUR
T1 - Analysis of procollagen c-proteinase enhancer-1/glycosaminoglycan binding sites and of the potential role of calcium ions in the interaction
AU - Potthoff, Jan
AU - Bojarski, Krzysztof K.
AU - Kohut, Gergely
AU - Lipska, Agnieszka G.
AU - Liwo, Adam
AU - Kessler, Efrat
AU - Ricard-Blum, Sylvie
AU - Samsonov, Sergey A.
N1 - Publisher Copyright:
© 2019 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2019/10/2
Y1 - 2019/10/2
N2 - In this study, we characterize the interactions between the extracellular matrix protein, procollagen C-proteinase enhancer-1 (PCPE-1), and glycosaminoglycans (GAGs), which are linear anionic periodic polysaccharides. We applied molecular modeling approaches to build a structural model of full-length PCPE-1, which is not experimentally available, to predict GAG binding poses for various GAG lengths, types and sulfation patterns, and to determine the effect of calcium ions on the binding. The computational data are analyzed and discussed in the context of the experimental results previously obtained using surface plasmon resonance binding assays. We also provide experimental data on PCPE-1/GAG interactions obtained using inhibition assays with GAG oligosaccharides ranging from disaccharides to octadecasaccharides. Our results predict the localization of GAG-binding sites at the amino acid residue level onto PCPE-1 and is the first attempt to describe the effects of ions on protein-GAG binding using modeling approaches. In addition, this study allows us to get deeper insights into the in silico methodology challenges and limitations when applied to GAG-protein interactions.
AB - In this study, we characterize the interactions between the extracellular matrix protein, procollagen C-proteinase enhancer-1 (PCPE-1), and glycosaminoglycans (GAGs), which are linear anionic periodic polysaccharides. We applied molecular modeling approaches to build a structural model of full-length PCPE-1, which is not experimentally available, to predict GAG binding poses for various GAG lengths, types and sulfation patterns, and to determine the effect of calcium ions on the binding. The computational data are analyzed and discussed in the context of the experimental results previously obtained using surface plasmon resonance binding assays. We also provide experimental data on PCPE-1/GAG interactions obtained using inhibition assays with GAG oligosaccharides ranging from disaccharides to octadecasaccharides. Our results predict the localization of GAG-binding sites at the amino acid residue level onto PCPE-1 and is the first attempt to describe the effects of ions on protein-GAG binding using modeling approaches. In addition, this study allows us to get deeper insights into the in silico methodology challenges and limitations when applied to GAG-protein interactions.
KW - Calcium ions
KW - Computational analysis of protein-glycosaminoglycan interactions
KW - Fragment-based docking
KW - Glycosaminoglycans
KW - Procollagen C-proteinase enhancer-1
UR - http://www.scopus.com/inward/record.url?scp=85074233011&partnerID=8YFLogxK
U2 - 10.3390/ijms20205021
DO - 10.3390/ijms20205021
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AN - SCOPUS:85074233011
SN - 1661-6596
VL - 20
JO - International Journal of Molecular Sciences
JF - International Journal of Molecular Sciences
IS - 20
M1 - 5021
ER -