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The rdkitpyr package provides a high-level interface for
cheminformatics tasks in R. It leverages the RDKit library via its
Python API, accessed through the reticulate package. Unlike
a thin wrapper around RDKit, rdkitpyr offers R-friendly,
task-oriented functions without mirroring RDKit’s native API. The
package motto is “Focus on chemistry tasks in R, without diving into
RDKit internals”.
The name rdkitpyr (pronounced
/ar-dee-kit-peer/) highlights its nested structure (from R
to Python to the RDKit C++ library) and its role as an R-side peer to
RDKit rather than a direct wrapper.
A key design principle is one Python call per task. Custom Python helper functions implement this approach, reducing overhead and ensuring consistent exception handling.
# Install 'rdkitpyr' from CRAN:
install.packages("rdkitpyr")# Install 'rdkitpyr' from GitHub:
library(devtools)
install_github("andreysamokhin/rdkitpyr")The rdkitpyr package supports both novice and advanced
users.
Python>=3.12, numpy>=2,<3, and
rdkit>=2025.9.1) and select it in R using one of the
methods recommended by reticulate (e.g., setting the
RETICULATE_PYTHON_ENV environment variable or using
reticulate::use_*() functions). This gives full control
over package versions and the Python environment.reticulate using a
manifest created with reticulate::py_require().
Installation starts only when a function that requires Python is called.
It may take a few minutes, and requires about 200 MB of disk space.Here is a simple example:
library(rdkitpyr)
rdkitpyr::ConvertToInchi(c("CC", "CCC"))
#> "InChI=1S/C2H6/c1-2/h1-2H3"
#> "InChI=1S/C3H8/c1-3-2/h3H2,1-2H3"
rdkitpyr::CalculateExactMass(c("c1ccccc1", "CCCC"))
#> 78.04695 58.07825These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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