The ProteinGymR
package provides analysis-ready data resources from
ProteinGym, generated by Notin et al.,
2023. ProteinGym
comprises a collection of benchmarks for evaluating the performance of models
predicting the effect of point mutations. This package provides access to two
datasets: 1. Deep mutational scanning (DMS) scores from 217 assays measuring
the impact of all possible amino acid substitutions across 186 proteins, and 2.
AlphaMissense pathogenicity scores for ~1.6 M substitutions in the ProteinGym
DMS data.
Install the package from Bioconductor or GitHub, ensuring correct Bioconductor dependencies.
if (!"BiocManager" %in% rownames(installed.packages()))
install.packages("BiocManager", repos = "https://cloud.R-project.org")
BiocManager::install("ccb-hms/ProteinGymR")
Load the library.
library(ProteinGymR)