vanddraabe
provides a powerful way to identify and
analyze conserved waters within crystallographic protein structures and
molecular dynamics simulation trajectories. Statistical parameters for
each water cluster, informative graphs, and a PyMOL session file to visually explore
the conserved waters and protein are returned. Hydrophilicity is the
propensity of waters to congregate near specific protein atoms and is
related to conserved waters. An informatics derived set of
hydrophilicity values are provided based on a large, high-quality X-ray
protein structure dataset.
This package is a reimplementation and expansion of the WatCH1 and PyWATER2 applications and was created to provide the following abilities:
Paul C Sanschagrin and Leslie A Kuhn. Cluster analysis of
consensus water sites in thrombin and trypsin shows conservation between
serine proteases and contributions to ligand specificity. Protein
Science, 1998, 7 (10), pp
2054-2064.
DOI:
10.1002/pro.5560071002
PMID:
9792092
WatCH
webpage
Hitesh Patel, Bjorn A. Gruning, Stefan Gunther, and Irmgard
Merfort. PyWATER: a PyMOL plug-in to find conserved water molecules in
proteins by clustering. Bioinformatics, 2014,
30 (20), pp 2978-2980.
DOI:
10.1093/bioinformatics/btu424
PMID:
24990608
PyWATER
on GitHub
vanddraabe
is available on GitHub and on CRAN. To
install it:
# The easiest way to get vanddraabe is:
install.packages("vanddraabe")
# Or get the development version from GitHub:
# install.packages("devtools")
::install_github("exeResearch/vanddraabe") devtools
The vignette provided here is a detailed
example of using vanddraabe
to identify the conserved
waters of ten Thrombin structures.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.