Residue Interaction Network Analysis Predicts a Val24–Ile31 Interaction May be Involved in Preventing Amyloid‐Beta (1–42) Primary Nucleation
Alzheimer’s disease (AD) patients could benefit from a more effective treatment than the current FDA-approved options. Because amyloid-beta (Aβ) is thought to play a central role in AD pathogenesis, many experimental drugs attempt to reduce Aβ-induced pathology. Preventing amyloid accumulation may be a more effective strategy than clearing Aβ plaques after they form. If preventing Aβ accumulation can treat or prevent AD, then understanding Aβ primary nucleation may aid rational drug design. This study examines Aβ residue interaction networks and reports network and structural observations that may provide insight into primary nucleation. While many studies identify structural features of Aβ that promote aggregation, this study reports features that may resist primary nucleation by examining Aβ42 studies in more and less polar solvents. In Aβ42 in a less polar solvent (PDB ID: 1IYT), Val24 and Ile31 have higher betweenness and residue centrality values. This may be due to a predicted interaction between Val24 and Ile31. Residues in the central hydrophobic cluster (CHC) of Aβ40 and Aβ42 had significantly higher betweenness values compared to the average betweenness of the structures, highlighting the CHC’s reported role in oligomerization. The predicted interaction between Val24 and Ile31 may reduce the likelihood of primary nucleation of Aβ.
Griffin, Jeddidiah W.D.; and Bradshaw, Patrick C.. 2021. Residue Interaction Network Analysis Predicts a Val24–Ile31 Interaction May be Involved in Preventing Amyloid‐Beta (1–42) Primary Nucleation. Protein Journal. Vol.40(2). 175-183. https://doi.org/10.1007/s10930-021-09965-w PMID: 33566321 ISSN: 1572-3887