Dataset 5 - Consensus Antimicrobial Peptides Identified By Three Prediction Models (AMPir, AMPlify and Macrel) From Peptidomes Derived From Cnidaria Omics Data
Published: 6 December 2024| Version 1 | DOI: 10.17632/vn5mk4d44m.1
Contributors:
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Consensus approach using three prediction models (AMPir, AMPlify and Macrel) to identify putative antimicrobial peptides from peptidomes generated by in silico proteolysis of Cnidaria omics data.
Files
Steps to reproduce
1 - Three antimicrobial prediction models - AMPir (https://ampir.marine-omics.net/) , AMPlify (https://github.com/bcgsc/AMPlify) and Macrel (https://github.com/BigDataBiology/macrel) applied to the peptidomes generated in "Mendeley Data, V1, doi: 10.17632/mx4fkk4v8j.1" 2 - Construction of Venn Diagrams to identify the intersection of the three predicted datasets
Institutions
Universidade do Porto Centro Interdisciplinar de Investigacao Marinha e Ambiental, Universidad San Francisco de Quito Colegio de Ciencias de la Salud, Universidad Panamericana Aguascalientes Facultad de Ingenieria, Universidade do Porto Faculdade de Ciencias
Categories
Peptides, Biodiscovery, Omics, Antimicrobial