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Jesse Stombaugh has contributed to the geometric analysis of RNA structures. His 2002 paper with Neocles B. Leontis and Eric Westhof classifies noncanonical base pairs and organizes their geometric compatibility in RNA isostericity matrices. The paper's byline associates Stombaugh with Bowling Green State University's chemistry and biomolecular-sciences research.^[ref]

The underlying problem is that nucleotide sequence alone does not specify which edges of two nucleobases contact or how their attached backbones are arranged. A replacement can preserve a contact's geometry while changing its chemical composition. Stombaugh's coauthored classification provides a framework for testing such replacements, rather than treating every base pair with the same two letters as the same structure.

Stombaugh is first author of the 2009 study Frequency and isostericity of RNA base pairs by Jesse Stombaugh and others, with Craig L. Zirbel, Eric Westhof and Neocles B. Leontis. It introduces the RNA IsoDiscrepancy Index and compares geometrically aligned ribosomal RNA structures with sequence variation.^[ref]

An original comparison illustrates the question. The standard cis Watson–Crick A–U and G–C contacts are geometrically compatible, even though they have two and three hydrogen bonds, respectively. Replacing A–U by G–C can therefore preserve the approximate backbone scaffold without preserving every contribution to free energy or recognition by a protein. Conversely, simply reversing the order of a wobble pair need not preserve its geometry. Geometry, contact chemistry and local sequence context must be assessed separately.

These studies combine structural coordinates with comparative analysis; they do not infer a unique three-dimensional fold from a short sequence alone. A correlated substitution can support a structural hypothesis, but actual contacts and model errors still need checking against experimental structures.

The RNA IsoDiscrepancy Index, abbreviated IDI, is a numerical measure of how two base pairs differ in the geometry relevant to their attached backbones. Lower values indicate closer RNA base-pair isostericity. Jesse Stombaugh, Craig L. Zirbel, Eric Westhof and Neocles B. Leontis introduced it to make comparisons more quantitative than assigning pairs only to broad geometric families.^[ref]

The comparison considers the separation of the ribose $\mathrm{C}{1}^{\prime }$ atoms and the relative positions and orientations of the bases at their glycosidic bonds. The attachment nitrogen is N1 for a pyrimidine and N9 for a purine. Thus matching the distance between two sugar attachment points alone does not establish matching base orientation. The published construction handles in-plane alignment and comparisons requiring an out-of-plane flip separately.^[ref]

IDI has units of ångströms, not a dimensionless probability scale. In the in-plane case, the method weights an orientation angle $\theta$ by a 2-ångström length scale. An original illustration of that rotation term isThis is one weighted rotation contribution, not the complete IDI formula. Translation, separation and the paired orientation comparisons also matter. Expressing an angle in radians is essential to this length interpretation.^[ref]

The authors calibrated their classification using structural distributions: IDI at most 2.0 ångströms is isosteric, above 2.0 through 3.3 ångströms is near-isosteric, and larger values are more dissimilar. These are the study's method-specific cutoffs. A chosen score of 1.8 therefore falls in its first category, whereas 2.6 falls in its second; neither is an energy or a probability.^[ref]

Interchanging the two structures being compared leaves the discrepancy unchanged; reversing the nucleotide order within only one base pair is a different operation. An RNA isostericity matrix can display such comparisons, but sequence context and model quality still affect interpretation. A geometrically plausible substitution is a structural hypothesis, not a guarantee of unchanged folding stability or molecular recognition.