Publication: Modeling β-sheet breaker peptides across multiple resolutions: from neurological targets to liposomal membranes
| dc.contributor.department | Department of Chemical and Biological Engineering | |
| dc.contributor.kuauthor | Gül, Gülşah | |
| dc.contributor.schoolcollegeinstitute | College of Engineering | |
| dc.date.accessioned | 2026-07-02T07:03:50Z | |
| dc.date.available | 2026-03-27 | |
| dc.date.issued | 2026 | |
| dc.description.abstract | beta-Sheet-breaker peptides can destabilize protein aggregates associated with neurological disorders, thereby interfering with fibril formation. Given the pivotal role of misfolded protein oligomers such as amyloid-beta and alpha-synuclein in Alzheimer's and Parkinson's diseases, respectively, strategies that block beta-sheet formation or perturb beta-sheet-rich interactions are promising therapeutic approaches to mitigate neurotoxicity and slow disease progression. However, cross-applicability of inhibitor peptides between these diseases remains largely unexplored. Moreover, the clinical potential of beta-sheet-breaker peptides is often limited by enzymatic degradation and restricted blood-brain barrier permeability, necessitating effective delivery systems. To address these challenges, lipid-based nanocarriers offer versatile platforms for peptide encapsulation and controlled release. Therefore, in this study, we collected 50 experimentally validated beta-sheet-breaker peptides and examined their binding to amyloid-beta and alpha-synuclein fibrils using molecular docking and molecular dynamics simulations. The selected peptide was further evaluated via atomistic and coarse-grained simulations within PEGylated phosphatidylcholine bilayers at varying cholesterol concentrations to assess peptide-lipid interactions and encapsulation potential. Our results indicate that certain peptides may target multiple misfolded proteins, supporting their potential for cross-disease repurposing. Among the candidates, KR peptides exhibited the highest binding free energy toward both targets, while RR peptides demonstrated robust binding with comparable affinity. Multiscale simulations revealed that RR peptides predominantly localize within PEG corona regions and interact with lipid phosphate headgroups, suggesting preferential surface adsorption on pre-formed liposomal fragments. Peptide insertion was more pronounced in unsaturated membranes, whereas cholesterol-rich, saturated membranes hindered permeation and bilayer-to-vesicle transition. Overall, this study provides the first molecular-level insight into the potential of experimentally validated peptides against different neurodegenerative targets and presents a lipid-based delivery strategy to enhance their bioavailability by elucidating the underlying molecular interactions. | |
| dc.description.fulltext | No | |
| dc.description.harvestedfrom | Manual | |
| dc.description.indexedby | WOS | |
| dc.description.indexedby | Scopus | |
| dc.description.indexedby | PubMed | |
| dc.description.publisherscope | International | |
| dc.description.readpublish | N/A | |
| dc.description.sponsoredbyTubitakEu | TÜBİTAK | |
| dc.description.sponsorship | The financial support was provided by the TUBITAK 2218 - National Postdoctoral Research Fellowship Program with the Project No.: 123C377. Computing resources used in this work were mainly provided by the National Center for High Performance Computing of Turkey (UHeM) under grant number 1017912024. Computations were partially performed at the MareNostrum 5 preexascale supercomputing system. The author gratefully acknowledges the Barcelona Supercomputing Center (BSC) and the Scientific and Technological Research Council of Turkey (TUBITAK) for providing access to these resources and supporting this research. The author also thanks Dr Erkan & Scedil;enses and Dr Erdal Ayd & imath;n from Koc University for sharing their computational resources without hesitation. | |
| dc.description.version | Published Version | |
| dc.identifier.WoSQuartile | Q2 | |
| dc.identifier.doi | 10.1039/d5nr05060j | |
| dc.identifier.eissn | 2040-3372 | |
| dc.identifier.embargo | No | |
| dc.identifier.endpage | 6067 | |
| dc.identifier.grantno | 123C377 | |
| dc.identifier.issn | 2040-3364 | |
| dc.identifier.issue | 11 | |
| dc.identifier.pubmed | 41706531 | |
| dc.identifier.scopus | 2-s2.0-105030506511 | |
| dc.identifier.startpage | 6044 | |
| dc.identifier.uri | https://doi.org10.1097/RLU.0000000000006362 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14288/32864 | |
| dc.identifier.volume | 18 | |
| dc.identifier.wos | 001693376800001 | |
| dc.keywords | Beta-sheet-breaker peptides | |
| dc.keywords | Neurodegenerative diseases | |
| dc.keywords | Lipid-based nanocarriers | |
| dc.language | eng | |
| dc.publisher | Royal Society of Chemistry | |
| dc.relation.affiliation | Koç University | |
| dc.relation.collection | Koç University Institutional Repository | |
| dc.relation.ispartof | Nanoscale | |
| dc.relation.openaccess | N/A | |
| dc.rights | N/A | |
| dc.rights.uri | N/A | |
| dc.subject | Chemistry | |
| dc.subject | Science and technology | |
| dc.subject | Materials science | |
| dc.subject | Physics | |
| dc.title | Modeling β-sheet breaker peptides across multiple resolutions: from neurological targets to liposomal membranes | |
| dc.type | Journal Article | |
| dspace.entity.type | Publication | |
| relation.isOrgUnitOfPublication | c747a256-6e0c-4969-b1bf-3b9f2f674289 | |
| relation.isOrgUnitOfPublication.latestForDiscovery | c747a256-6e0c-4969-b1bf-3b9f2f674289 | |
| relation.isParentOrgUnitOfPublication | 8e756b23-2d4a-4ce8-b1b3-62c794a8c164 | |
| relation.isParentOrgUnitOfPublication.latestForDiscovery | 8e756b23-2d4a-4ce8-b1b3-62c794a8c164 |
