A new version of SeeSAR is now available for download.
Version 5.5 includes several new features and has undergone some tweaks under the hood to improve speed.
From the release notes:-
2D browsing featuring in-view molecule properties
To further enhance the 2D browsing, we have added an illustration of the molecules' key properties in the form of a radar plot. A thumbnail of the plot is embedded in each of the 2D molecule pictures, providing a quick overview. it enlarges upon mouse-over and provides access to the configuration dialog. Add or remove property-axes, optionally fine-tune the scales and set 'desired' value ranges. A hit or miss of the latter is indicated by green or red dots on the corners of the color-coded characteristic shape of the molecule on the plot (the greener the better).
Detecting novel/unoccupied binding sites
Now SeeSAR can search your protein for unoccupied pockets based on the world-renown DoGSite-Algorithm. You may then select these to become the binding site, within which to generate poses and calculate binding affinities for your molecules. The new binding site definition feature lets you either use a selected molecule from the table (based on a 6.5Å shell around it, as before) or will detect and visualize empty pockets for you to select instead.
Multiple reference molecules
The reference molecule in SeeSAR always stays in view even when you select other entries from the molecule tables. Now, however, you are able to set - and keep in view - as many reference molecules as you like. Either set them individually - in the selected molecule menu (as before) - or mark several as favorites and set them all as references at once, via the new menu button below the table.
Multiple core replacements with just one click
With the new multiple solutions button for ReCore in the molecule editor, brainstorming new scaffold ideas became yet easier. You can now generate 10 new alternative core replacements at once. The new molecules are saved directly to the table so that you can immediately see their estimated binding affinity and view all structures in 2D at a glance.