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:
,
,
,
,

Description

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

Licence