Data-Driven Insights for Drug Design: CSD-Based Conformations Guide
Empirically Observed Preferred Conformations
This guide presents preferred conformations of common drug design groups, based on millions of experimental observations.
Mogul software evaluates individual bond angles, lengths, torsions, and conformations within any given structure by comparing them against similar structures in the Cambridge Structural Database.
This approach provides drug designers with an understanding of the preferred conformations based on real-world, experimentally observed examples.
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Learn more about Mogul and/or the CSD Python API.