› LANDSCAPE NAVIGATOR
Landscape Navigator
Energy landscapes model molecular systems as connected ensembles of stable states, transition states, pathways, and binding opportunities rather than as single static structures. Landscape Navigator applies this methodology to target ensembles, cavities, ligands, conformers, chemical spaces, docking outputs, AI embeddings, and high-dimensional discovery data in one computational discovery environment. It supports edge smoke tests, supercluster-scale computation, ranked harbour datasets, and pilot workflows guided by DOHD ROTU structural biologists.
› KNOWLEDGE BASE
Knowledge Base
The DOHD ROTU Knowledge Base provides structured access to curated chemical spaces, target spaces, energy-landscape datasets, and LN harbours prepared for discovery work. Selected portions are available for sale or subscription access, helping partners use high-quality data that is computationally expensive to obtain and maintain. These datasets also provide a strong basis for training, conditioning, and transfer learning in discovery models, where access to task-relevant scientific data is often a limiting factor.