HPiP
This package is for version 3.14 of Bioconductor; for the stable, up-to-date release version, see HPiP.
Host-Pathogen Interaction Prediction
Bioconductor version: 3.14
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.
Author: Matineh Rahmatbakhsh [aut, trl, cre], Mohan Babu [led]
Maintainer: Matineh Rahmatbakhsh <matinerb.94 at gmail.com>
citation("HPiP")):
Installation
To install this package, start R (version "4.1") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("HPiP")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("HPiP")
Details
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Follow Installation instructions to use this package in your R session.