Choose what to preserve before compressing
Averages, clustering and low-rank projections are established ways to summarize ensembles; libraries such as quimb also implement full MERA tensor-network operations. BioTwin’s current profile uses weighted low-rank projections of conformer fingerprints and linking descriptors. The descriptors, weights and retained dimension define the information available afterward.
Preserve the state that controls the decision
For a cryptic-pocket investigation, a useful check is whether the reduced representation retains the state carrying the relevant opening. If transitions are supported by a defensible kinetic model, temporal renormalization can separately test whether the slower behavior survives reduction. This combination could make repeated ensemble questions more economical, but equal-quality savings have not been measured.
A compressed descriptor has limits
Selected reduction methods are implemented. A reconstructable, branching molecular landscape remains research, and topology-derived weights do not establish thermodynamic populations. One equal-weight NMR comparison did not improve on a mean representation. Rare-state preservation and downstream decisions therefore need direct checks against the original ensemble.