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HPiP

Host-Pathogen Interaction Prediction

Bioconductor version: 3.23 · Package version: 1.18.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("HPiP")

Details

MaintainerMatineh Rahmatbakhsh <matinerb.94@gmail.com>
AuthorMatineh Rahmatbakhsh [aut, trl, cre], Mohan Babu [led]
LicenseMIT + file LICENSE
URLhttps://github.com/mrbakhsh/HPiP
Bug Reportshttps://github.com/mrbakhsh/HPiP/issues
Downloads rank212
Source branchRELEASE_3_23
biocViewsGenePrediction, Network, NetworkInference, Proteomics, Software, StructuralPrediction, SystemsBiology

Documentation

Download

Dependencies

Depends: R (>= 4.1)

Imports: dplyr (>= 1.0.6), httr (>= 1.4.2), readr, tidyr, tibble, utils, stringr, magrittr, caret, corrplot, ggplot2, pROC, PRROC, igraph, graphics, stats, purrr, grDevices, protr, MCL

Suggests: rmarkdown, colorspace, e1071, kernlab, ranger, SummarizedExperiment, Biostrings, randomForest, gprofiler2, gridExtra, ggthemes, BiocStyle, BiocGenerics, RUnit, tools, knitr