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From monomer to fibril: Abeta-amyloid binding to Aducanumab antibody studied by molecular dynamics simulation

  • Technical University of Munich

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Alzheimer's disease is one of the most common causes of dementia. It is believed that the aggregation of short Aβ-peptides to form oligomeric and protofibrillar amyloid assemblies plays a central role for disease-relevant neurotoxicity. In recent years, passive immunotherapy has been introduced as a potential treatment strategy with anti-amyloid antibodies binding to Aβ-amyloids and inducing their subsequent degradation by the immune system. Although so far mostly unsuccessful in clinical studies, the high-dosed application of the monoclonal antibody Aducanumab has shown therapeutic potential that might be attributed to its much greater affinity to Aβ-aggregates vs monomeric Aβ-peptides. In order to better understand how Aducanumab interacts with aggregated Aβ-forms compared to monomers, we have generated structural model complexes based on the known structure of Aducanumab in complex with an Aβ2 − 7-eptitope. Structural models of Aducanumab bound to full-sequence Aβ1 − 40-monomers, oligomers, protofilaments and mature fibrils were generated and investigated using extensive molecular dynamics simulations to characterize the flexibility and possible additional interactions. Indeed, an aggregate-specific N-terminal binding motif was found in case of Aducanumab binding to oligomers, protofilaments and fibrils that is located next to but not overlapping with the epitope binding site found in the crystal structure with Aβ2 − 7. Analysis of binding energetics indicates that this motif binds weaker than the epitope but likely contributes to Aducanumab's preference for aggregated Aβ-species. The predicted aggregate-specific binding motif could potentially serve as a basis to reengineer Aducanumab for further enhanced preference to bind Aβ-aggregates vs monomers.

Original languageEnglish
Pages (from-to)1592-1606
Number of pages15
JournalProteins: Structure, Function and Bioinformatics
Volume88
Issue number12
DOIs
StatePublished - 1 Dec 2020

Keywords

  • Aducanumab
  • Alzheimer's disease
  • amyloid-beta
  • anti-amyloid antibodies
  • antibody engineering
  • antibody-antigen recognition
  • binding site optimization
  • computer-aided drug design
  • immunotherapy
  • molecular dynamics simulation

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