Biomolecular Resolution as a Quantification of Structural Information Content

Hierarchical resolution provides a technique-independent, local measure of how well biomolecular structural information is embedded across length scales, enabling statistically optimal representations.

• Why it matters: Resolution is ambiguous because structural information appears differently at different length scales, while common definitions treat only one scale.
• What they did: The authors decompose biomolecular structures into hierarchical elements and compute a probabilistic “hierarchical resolution” that selects the statistically optimal representation for an experiment.
• The result: In the bacterial ribosome case study, hierarchical resolution calculations relate to reported experimental resolution and clarify how “atomic resolution” should be interpreted for high-resolution techniques.

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