Attachment-based core hopping:
This ligand-based method aligns the starting compound’s R-group attachments with sets of attachment bonds in candidate cores. The threaded algorithm takes full advantage of modern, multi-core computing technology to provide the highest throughput.
Shape-based core hopping:
This ligand-based method uses Schrödinger’s Phase Shape technology to ensure that the shape and chemical nature of the candidate scaffolds are sufficiently similar to those of the starting compound, while simultaneously achieving good joining geometry for R-group placement. Phase Shape's efficient algorithm makes this core hopping approach a perfect balance between speed and accuracy.
Receptor-based core hopping:
The unique receptor-based core hopping method takes advantage of Schrödinger's Glide docking analysis. Scaffold replacements are carried out in the active site, guided by a known binding pose where candidate cores are rewarded for favorable interactions with the receptor and penalized for the reverse. Users may optionally specify core-receptor interactions, such as hydrogen bonds, that a candidate scaffold must form with the receptor. This method returns novel compounds with ligand-receptor interactions that are most faithful to those of the starting compound.
Automatic linker addition:
The attachment- and receptor-based core hopping methods provide the option to automatically insert linkers to a candidate core's periphery to achieve proper R-group connectivity for any replacement scaffolds that exhibit desired properties, but are too small to align with the attachment bonds of the starting compound.
Core libraries:
Schrödinger provides downloadable libraries of replacement cores as a starting point for users to add their own core structures. The downloadable core libraries are continuously being enhanced and expanded by in-house scientists at Schrödinger.
Intuitive graphical user interface:
Schrödinger’s intuitive graphical user interface, Maestro, provides step-by-step panels for straightforward set-up of experiments, easy visualization and efficient analysis of Core Hopping results.