SARS_CoV_2

The torsion angle dataset of the chain B of SARS-CoV-2 spike glycopreotein. This data is originally
from first two main torsion angles of <code>data_6VXX</code>.

datasets

Provides various tools of for clustering multivariate angular
data on the torus. The package provides angular
adaptations of usual clustering methods such as the k-means
clustering, pairwise angular distances, which can be used as an
input for distance-based clustering algorithms, and implements
clustering based on the conformal prediction framework. Options
for the conformal scores include scores based on a kernel density
estimate, multivariate von Mises mixtures, and naive k-means clusters.
Moreover, the package provides some basic data handling tools for
angular data.

Seungki Hong

ClusTorus

Prediction and Clustering on the Torus by Conformal Prediction

Sungkyu Jung

Kiho Park

Byungwon Kim

SARS_CoV_2 function

This data.frame contains the following columns:<dl class="dl-horizontal">
 <dt><code>phi</code></dt><dd>main chain torsion angle for atoms C,N,CA,C.</dd>
 <dt><code>psi</code></dt><dd>main chain torsion angle for atoms N,CA,C,N.</dd>
</dl>

Format

SARS-CoV-2: chain B of Structure of the SARS-CoV-2 spike glycoprotein(closed state) — SARS_CoV_2

This data.frame contains the following columns:<dl class='dl-horizontal'>
 <dt><code>phi</code></dt><dd>main chain torsion angle for atoms C,N,CA,C.</dd>
 <dt><code>psi</code></dt><dd>main chain torsion angle for atoms N,CA,C,N.</dd>
</dl>

SARS_CoV_2: SARS-CoV-2: chain B of Structure of the SARS-CoV-2 spike glycoprotein(closed state)

Description

Usage

Arguments

Format

Details

References

See Also