aSynPEP-DB : a database of biogenic peptides for inhibiting α-synuclein aggregation
Pintado-Grima, Carlos (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Bárcenas, Oriol (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Iglesias, Valentin (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Santos Suárez, Jaime (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Manglano-Artuñedo, Zoe (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Pallarès i Goitiz, Irantzu (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Burdukiewicz, Michał (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Ventura, Salvador (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)

Date:	2023
Abstract:	Parkinson's disease (PD) is the second most prevalent neurodegenerative disorder, yet effective treatments able to stop or delay disease progression remain elusive. The aggregation of a presynaptic protein, α-synuclein (aSyn), is the primary neurological hallmark of PD and, thus, a promising target for therapeutic intervention. However, the lack of consensus on the molecular properties required to specifically bind the toxic species formed during aSyn aggregation has hindered the development of therapeutic molecules. Recently, we defined and experimentally validated a peptide architecture that demonstrated high affinity and selectivity in binding to aSyn toxic oligomers and fibrils, effectively preventing aSyn pathogenic aggregation. Human peptides with such properties may have neuroprotective activities and hold a huge therapeutic interest. Driven by this idea, here, we developed a discriminative algorithm for the screening of human endogenous neuropeptides, antimicrobial peptides and diet-derived bioactive peptides with the potential to inhibit aSyn aggregation. We identified over 100 unique biogenic peptide candidates and ensembled a comprehensive database (aSynPEP-DB) that collects their physicochemical features, source datasets and additional therapeutic-relevant information, including their sites of expression and associated pathways. Besides, we provide access to the discriminative algorithm to extend its application to the screening of artificial peptides or new peptide datasets. aSynPEP-DB is a unique repository of peptides with the potential to modulate aSyn aggregation, serving as a platform for the identification of previously unexplored therapeutic agents. Database URL:.
Grants:	Agència de Gestió d'Ajuts Universitaris i de Recerca 2023FI300018 European Commission 952334 Agencia Estatal de Investigación PID2019-105017RB-I00
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Published in:	Database, Vol. 2023 (november 2023) , ISSN 1758-0463

DOI: 10.1093/database/baad084
PMID: 38011719

9 p, 2.5 MB

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