Abstract
The analysis of amyloid structures is much easier recently due to the availability of the solid-state nuclear magnetic resonance technique, which allows the determination of the 3D structure of amyloid forms. The amyloidogenic polypeptide Aβ(1-40) (PDB ID 2M9R, 2M9S) in its soluble form is the object of analysis in this paper. The solubility of this polypeptide is reached due to the presence of a complexed ligand: polyphenol ε-viniferin glucoside. Two forms of complexes available in the PDB were taken for analysis with respect to the presence of a hydrophobic core in the 3D structure of these complexes. The idealized hydrophobic core structure assumed to be accordant with the 3D Gauss function distribution was taken as the pattern. The aim of this analysis is the possible further comparison to the structures of the hydrophobic core present in amyloids. It is shown that the discordant (versus the 3D Gauss function) fragments present in amyloids appear accordant in the discussed complexes.
Funding source: Jagiellonian University-Medical College
Award Identifier / Grant number: K/ZDS/006363
Funding statement: The work was financially supported by the Jagiellonian University-Medical College (grant system K/ZDS/006363).
Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Employment or leadership: None declared.
Honorarium: None declared.
Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.
References
[1] Taubes G. Misfolding the way to disease. Science 1996;271:1493–5.10.1126/science.271.5255.1493Search in Google Scholar PubMed
[2] Horwich AL, Weissman JS. Deadly conformations – protein misfolding in prion disease. Cell 1997;89:499–510.10.1016/S0092-8674(00)80232-9Search in Google Scholar PubMed
[3] Baum J, Brodsky B. Folding of peptide models of collagen and misfolding in disease. Curr Opin Struct Biol 1999;9:122–8.10.1016/S0959-440X(99)80016-5Search in Google Scholar PubMed
[4] Dobson CM, Ellis RJ. Protein folding and misfolding inside and outside the cell. EMBO J 1998;17:5251–4.10.1093/emboj/17.18.5251Search in Google Scholar PubMed PubMed Central
[5] Baldwin RL. The nature of protein folding pathways: the classical versus the new view. J Biomol NMR 1995;5:103–9.10.1007/BF00208801Search in Google Scholar PubMed
[6] Jaenicke R. Folding and association versus misfolding and aggregation of proteins. Philos Trans R Soc Lond B Biol Sci 1995;348:97–105.10.1098/rstb.1995.0050Search in Google Scholar PubMed
[7] Di Fede G, Catania M, Maderna E, Ghidoni R, Benussi L, Tonoli E, et al. Molecular subtypes of Alzheimer’s disease. Sci Rep 2018;8:3269.10.1038/s41598-018-21641-1Search in Google Scholar PubMed PubMed Central
[8] Carbonell F, Iturria-Medina Y, Evans AC. Mathematical modeling of protein misfolding mechanisms in neurological diseases: a historical overview. Front Neurol 2018;9:37.10.3389/fneur.2018.00037Search in Google Scholar PubMed PubMed Central
[9] Tao YX, Conn PM. Pharmacoperones as novel therapeutics for diverse protein conformational diseases. Physiol Rev 2018;98:697–725.10.1152/physrev.00029.2016Search in Google Scholar PubMed PubMed Central
[10] Cheng B, Li Y, Ma L, Wang Z, Petersen RB, Zheng L, et al. Interaction between amyloidogenic proteins and biomembranes in protein misfolding diseases: mechanisms, contributors, and therapy. Biochim Biophys Acta 2018;18. pii: S0005-2736(18)30054-3.10.1016/j.bbamem.2018.02.013Search in Google Scholar PubMed
[11] Fändrich M, Nyström S, Nilsson KP, Böckmann A, LeVine H 3rd, Hammarström P. Amyloid fibril polymorphism: a challenge for molecular imaging and therapy. J Intern Med 2018;283:218–37.10.1111/joim.12732Search in Google Scholar PubMed
[12] Roterman I, Banach M, Konieczny L. Propagation of fibrillar structural forms in proteins stopped by naturally occurring short polypeptide chain fragments. Pharmaceuticals (Basel) 2017;10. pii: E89.10.3390/ph10040089Search in Google Scholar PubMed
[13] Roterman I, Banach M, Konieczny L. Towards the design of anti-amyloid short peptide helices Bioinformation 2018;14:001–7.10.6026/97320630014001Search in Google Scholar
[14] Ribarič S. Peptides as potential therapeutics for Alzheimer’s disease. Molecules. 2018;23. article id: E283.10.3390/molecules23020283Search in Google Scholar PubMed
[15] Richard T, Papastamoulis Y, Waffo-Teguo P, Monti JP. 3D NMR structure of a complex between the amyloid β peptide (1-40) and the polyphenol ε-viniferin glucoside: implications in Alzheimer’s disease. Biochim Biophys Acta 2013;1830:5068–74.10.1016/j.bbagen.2013.06.031Search in Google Scholar PubMed
[16] Konieczny L, Brylinski M, Roterman I. Gauss-function-based model of hydrophobicity density in proteins. In Silico Biol 2006;6:15–22.10.3233/ISB-00217Search in Google Scholar PubMed
[17] Kalinowska B, Banach M, Konieczny L, Roterman I. Application of divergence entropy to characterize the structure of the hydrophobic core in DNA interacting proteins. Entropy 2015;17:1477–507.10.3390/e17031477Search in Google Scholar
[18] Roterman I, Banach M, Kalinowska B, Konieczny L. Influence of the aqueous environment on protein structure – a plausible hypothesis concerning the mechanism of amyloidogenesis. Entropy 2016;18:351.10.3390/e18100351Search in Google Scholar
[19] Roterman I, Banach M, Konieczny L. Application of the fuzzy oil drop model describes amyloid as a ribbonlike micelle. Entropy 2017;19:167.10.3390/e19040167Search in Google Scholar
[20] Levitt MA. A simplified representation of protein conformations for rapid simulation of protein folding. J Mol Biol 1974;104:59–107.10.1016/0022-2836(76)90004-8Search in Google Scholar
[21] Kullback S, Leibler RA. On information and sufficiency. Ann Math Stat 1951;22:79–86.10.1214/aoms/1177729694Search in Google Scholar
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- Protein-ligand binding site detection as an alternative route to molecular docking and drug repurposing
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