Dataset 11- Union And Intersection Datasets Of The Predicted Antibacterial, Antiviral, Antifungal And Anticancer Peptides From Cnidaria Omics Data
Description
Compilation of the antibacterial, antiviral, antifungal and anticancer peptides intersection and union datasets obtained with three prediction models
Files
Steps to reproduce
The following prediction tools were applied to the union dataset of the 1,935 most representative Cnidara Singular AMPs from "Mendeley Data, V1, doi: 10.17632/gdrn9sypx4.1": 1 - iAMPCN (https://github.com/joy50706/iAMPCN) was used to predict ABPs (antibacterial), AFPs (antifungal), AVPs (antiviral) and ACP (anticancer) peptides 2 - AMPDiscover (https://biocom-ampdiscover.cicese.mx/) was used to predict ABPs, AFPs and AVPs 3 - AntiBP3 (https://github.com/raghavagps/AntiBP3/blob/main/README.md) was used to predict ABPs 3 - AI4AVP (https://github.com/LinTzuTang/AI4AVP_predictor) was used to predict AVPs 4 - Antifp (https://webs.iiitd.edu.in/raghava/antifp/algo.php) was used to predict AFPs 5 - AntiCP 2.0 (https://webs.iiitd.edu.in/raghava/anticp2/) and ModlAMP (https://modlamp.org/) was used to predict ACPs 6 - Construction of Venn Diagrams to identify the intersection and union of the three predicted datasets for each activity