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Dioscuri-Biophysics
GlycoSHIELD-MD
Commits
f9bc272a
Commit
f9bc272a
authored
1 year ago
by
Klaus Reuter
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add institute logos
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webapp-landingpage/glycodensity.md
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webapp-landingpage/glycodensity.md
webapp-landingpage/index.md
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webapp-landingpage/glycodensity.md
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@@ -3,14 +3,20 @@ layout: page
title
:
GlycoDENSITY
---
# Welcome to GlycoDENSITY!
<p>
<img
src=
"glycoshield-logos-cropped-720.png"
alt=
"GlycoSHIELD Institute Logos"
>
</p>
<p>
GlycoDENSITY is an open-source program that refines GlycoSHIELD predictions using experimental (volumetric) data, such as
cryoEM, cryoET maps, or X-ray electron density maps. GlycoDENSITY sorts glycan conformers grafted with GlycoSHIELD according to
their fit to the underlying experimental data.
</p>
<p>
<a
href=
"https://dioscuri-biophysics.pages.mpcdf.de/glycodensity/"
target=
"_blank"
>
<img
src=
"glycodensity-large-logo.png"
alt=
"GlycoDENSITY"
>
</a>
<em>
GlycoSHIELD ensemble refinement. Here we used SARS-CoV-2 Spike protein in its post-fusion state (red). Associated map contains
low resolution information about glycans (e.g. marked in magenta box), which is only allowing to trace first monosaccharides of
a glycan (first image in the bottom row, density is shown as outline, glycan as sticks). The remaining low resolution density
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@@ -20,9 +26,9 @@ blue, brown, red). Finally, we can generate a synthetic density map based on the
experimental density.
</em>
</p>
## Get GlycoDENSITY
<p>
GlycoDENSITY is released under a specific license and is available for
[
download here
](
https://dioscuri-biophysics.pages.mpcdf.de/glycodensity/
)
{:target="_blank"}.
By downloading the code you acknowledge having read and accepted the terms of the license.
</p>
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layout
:
home
---
<p>
<img
src=
"glycoshield-logos-cropped-720.png"
alt=
"GlycoSHIELD Institute Logos"
>
</p>
# Welcome to GlycoSHIELD!
Use GlycoSHIELD to graft glycan conformers on protein structures.
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