RT info:eu-repo/semantics/dataPaper
T1 Dataset of manually curated peptides against arthropod-borne viruses
A1 Martínez Chamorro, Víctor Manuel
A1 Hermosilla Mechetti, Víctor Eduardo
A1 Gómez Adorno, Helena
A1 Pinto Roa, Diego Pedro
A1 Schaerer Serra, Christian Emilio
A1 Di Lella, Santiago
A1 Colbes Sanabria, José Domingo
AB Anti-arboviral peptides are biomolecules capable of interfering with key stages of the arboviral lifecycle. We present a dataset compiling 270 peptides composed of standard amino acids with reported activity against arboviruses, along with their lengths, sequences, target specificities, peptide entry mechanisms, and interaction mechanisms. The dataset was structured to support the training of machine learning models designed to identify anti-arboviral peptides. Therefore, it facilitates the development and validation of predictive tools against arboviruses. As a carefully assembled and expert-reviewed resource, this dataset aims to serve as a reference standard for evaluating new prediction models or comparing them with automatically compiled peptide datasets. This resource provides a comprehensive overview of the antiviral mechanisms currently being explored and can serve as a foundation for designing next-generation peptides targeting arboviral infections.
PB Elsevier
YR 2026
FD 2026-04-15
LK http://hdl.handle.net/20.500.14066/4780
UL http://hdl.handle.net/20.500.14066/4780
LA eng
NO Martínez, V., Hermosilla-Mechetti, V., Gomez-Adorno, H., Pinto-Roa, Diego P., Schaerer, C., Di Lella, S., & Colbes, J. (2026). Dataset of manually curated peptides against arthropod-borne viruses. Data in Brief, 66, 112765. https://doi.org/10.1016/j.dib.2026.112765
NO Corresponding author. E-mail address: jcolbes@pol.una.py (J. Colbes). Social media: @jcolbes (J. Colbes).
NO Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 03-sep-2026