HPiP (Host-Pathogen Interaction Prediction) uses an ensemble learning algorithm for prediction of host-pathogen protein-protein interactions (HP-PPIs) using structural and physicochemical descriptors computed from amino acid-composition of host and pathogen proteins.The proposed package can effectively address data shortages and data unavailability for HP-PPI network reconstructions. Moreover, establishing computational frameworks in that regard will reveal mechanistic insights into infectious diseases and suggest potential HP-PPI targets, thus narrowing down the range of possible candidates for subsequent wet-lab experimental validations.
Package details |
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Bioconductor views | GenePrediction Network NetworkInference Proteomics StructuralPrediction SystemsBiology |
Maintainer | |
License | MIT + file LICENSE |
Version | 1.5.3 |
URL | https://github.com/mrbakhsh/HPiP |
Package repository | View on GitHub |
Installation |
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