Dataset 7 - Consensus Non-Haemolytic And Non-Toxic Antimicrobial Peptides Identified By Three Prediction Models (CAPTP, ToxinPred3 and ToxTeller) From Peptidomes Derived From Cnidaria Omics Data

Published: 6 December 2024| Version 1 | DOI: 10.17632/fpb8nvhvh2.1
Contributors:
Alexandre Barroso, Guillermin Agüero-Chapin, Rita Sousa, Yovani Marrero-Ponce, Agostinho Antunes

Description

Consensus approach using three prediction models (CAPTP, ToxinPred3 and ToxTeller) to identify putative non-haemolytic and non-toxic antimicrobial peptides from peptidomes generated by in silico proteolysis of Cnidaria omics data.

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Steps to reproduce

1 - Three toxicity prediction models - CAPTP (https://github.com/jiaoshihu/CAPTP) , ToxinPred3 (https://github.com/raghavagps/toxinpred3) and ToxTeller (https://github.com/comics-asiis/ToxicPeptidePrediction) applied to the non-haemolytic antimicrobial peptide libraries generated in "V1, doi: 10.17632/dc5c6gb2w6.1" 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

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