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Computational screening of nanoparticles coupling to Aß40 peptides and fibrils.
Sen, Soumyo; Vukovic, Lela; Král, Petr.
Affiliation
  • Sen S; University of Illinois at Urbana-Champaign, NIH Center for Macromolecular Modeling and Bioinformatics, Beckman Institute, Urbana-Champaign, 61801, United States.
  • Vukovic L; University of Texas at El Paso, Department of Chemistry and Biochemistry, El Paso, 79968, United States. lvukovic@utep.edu.
  • Král P; University of Illinois at Chicago, Departments of Chemistry, Physics, Biopharmaceutical Sciences and Chemical Engineering, Chicago, 60607, United States. pkral@uic.edu.
Sci Rep ; 9(1): 17804, 2019 11 28.
Article in En | MEDLINE | ID: mdl-31780663
ABSTRACT
Blocking the formation, growth, and breaking of amyloid fibrils by synthetic nanosystems could provide a treatment of neurodegenerative diseases. With this in mind, here atomistic molecular dynamics simulations are used to screen for nanoparticles (NPs), covered with different mixtures of ligands, including positively and negatively charged ligands, Aß40-cut-peptide, and synthetic inhibitor ligands, in their selective coupling to Aß40 peptides and their fibrils. The simulations reveal that only Aß40-cut-peptide-covered NPs have strong and selective coupling to Aß40 monomers. On the other hand, positive, positive-neutral, Janus, and peptide NPs couple to the beta sheet surfaces of Aß40 fibrils and only the negative-neutral NPs couple to the fibril tips.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptide Fragments / Amyloid beta-Peptides / Nanoparticles / Molecular Dynamics Simulation / Amyloid Type of study: Diagnostic_studies / Screening_studies Language: En Journal: Sci Rep Year: 2019 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptide Fragments / Amyloid beta-Peptides / Nanoparticles / Molecular Dynamics Simulation / Amyloid Type of study: Diagnostic_studies / Screening_studies Language: En Journal: Sci Rep Year: 2019 Document type: Article Affiliation country: United States