Publication:
Modeling β-sheet breaker peptides across multiple resolutions: from neurological targets to liposomal membranes

dc.contributor.departmentDepartment of Chemical and Biological Engineering
dc.contributor.kuauthorGül, Gülşah
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2026-07-02T07:03:50Z
dc.date.available2026-03-27
dc.date.issued2026
dc.description.abstractbeta-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.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuTÜBİTAK
dc.description.sponsorshipThe 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.versionPublished Version
dc.identifier.WoSQuartileQ2
dc.identifier.doi10.1039/d5nr05060j
dc.identifier.eissn2040-3372
dc.identifier.embargoNo
dc.identifier.endpage6067
dc.identifier.grantno123C377
dc.identifier.issn2040-3364
dc.identifier.issue11
dc.identifier.pubmed41706531
dc.identifier.scopus2-s2.0-105030506511
dc.identifier.startpage6044
dc.identifier.urihttps://doi.org10.1097/RLU.0000000000006362
dc.identifier.urihttps://hdl.handle.net/20.500.14288/32864
dc.identifier.volume18
dc.identifier.wos001693376800001
dc.keywordsBeta-sheet-breaker peptides
dc.keywordsNeurodegenerative diseases
dc.keywordsLipid-based nanocarriers
dc.languageeng
dc.publisherRoyal Society of Chemistry
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofNanoscale
dc.relation.openaccessN/A
dc.rightsN/A
dc.rights.uriN/A
dc.subjectChemistry
dc.subjectScience and technology
dc.subjectMaterials science
dc.subjectPhysics
dc.titleModeling β-sheet breaker peptides across multiple resolutions: from neurological targets to liposomal membranes
dc.typeJournal Article
dspace.entity.typePublication
relation.isOrgUnitOfPublicationc747a256-6e0c-4969-b1bf-3b9f2f674289
relation.isOrgUnitOfPublication.latestForDiscoveryc747a256-6e0c-4969-b1bf-3b9f2f674289
relation.isParentOrgUnitOfPublication8e756b23-2d4a-4ce8-b1b3-62c794a8c164
relation.isParentOrgUnitOfPublication.latestForDiscovery8e756b23-2d4a-4ce8-b1b3-62c794a8c164

Files