BiocStyle::markdown()
options(width=100, max.print=1000)
knitr::opts_chunk$set(
    eval=as.logical(Sys.getenv("KNITR_EVAL", "TRUE")),
    cache=as.logical(Sys.getenv("KNITR_CACHE", "TRUE")))
suppressPackageStartupMessages({
    library(longevityTools) 
    library(ggplot2) }) 

Introduction

This vignette is part of the NIA funded Longevity Genomics project. For more information on this project please visit its website here. The GitHub repository of the corresponding R package is available here and the most recent version of this vignette can be found here.

The data package longevityDrugs contains molecular structures and annotation information of longevity-associated drugs (LADs). An iterative process will be used to assemble, update and curate this data set long-term [@Backman2011-uw; @Cao2008-zo]. Most small molecules will be identified by integrating several large-scale community data sources such as data from drug databases (e.g. Drugbank), bioassay databases (e.g. PubChem Bioassay, ChEMBL), literature, drug-related gene expression fingerprints (e.g. LINCS), genetic (e.g. GWAS) and phenotype resources. This will also include nearest neighbors of LADs sharing with them structural, physicochemical or biological properties.

[Back to Table of Contents]()

Getting Started

Installation

The R software for running longevityTools can be downloaded from CRAN. The longevityTools package can be installed from the R console using the following biocLite install command.

source("http://bioconductor.org/biocLite.R") # Sources the biocLite.R installation script 
biocLite("tgirke/longevityTools", build_vignettes=FALSE) # Installs package from GitHub
[Back to Table of Contents]()

Loading of required packages

library("longevityTools") 
library("ChemmineR") 
[Back to Table of Contents]()

Load database

mypath <- system.file("extdata", "longevitydrugs.sdf", package="longevityTools")
sdfset <- read.SDFset(mypath)
data(sdfsample)
sdfsample
plot(sdfsample[1:4], print=FALSE)
[Back to Table of Contents]()

Funding

This project is funded by NIH grant U24AG051129 awarded by the National Intitute on Aging (NIA).

[Back to Table of Contents]()

Version information

sessionInfo()
[Back to Table of Contents]()

References



tgirke/longevityTools documentation built on May 31, 2019, 9:07 a.m.