Predicting enantiomer migration order of levobunolol via sequential computational modeling

Pollyanna Pinto Maia, Rafaela Maia Della-Sávia Freitas, Luciana Guimarães, Clebio Soares Nascimento · 2026

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Description

Pollyanna Pinto Maia and co-authors present a 2026 computational chemistry study predicting how the two mirror-image forms of levobunolol separate. Levobunolol is a beta-blocker drug used in eye drops for glaucoma. Its two enantiomers, mirror-image molecules, behave differently, and only one is therapeutically active. The team modeled how each form binds inside ring-shaped sugar selectors called cyclodextrins, using quantum and semi-empirical calculations in gas and water.

The active S form consistently formed more stable complexes than the R form with both selectors tested. With the best selector, a sulfated cyclodextrin, binding free energy was far stronger for the S form, giving a large energy gap that signals exceptional selectivity. The analysis credits a more compact network of hydrogen bonds and better shape fit. The authors predict the S form will migrate more slowly in separation runs.

Catalog record

CREATORPollyanna Pinto Maia, Rafaela Maia Della-Sávia Freitas, Luciana Guimarães, Clebio Soares Nascimento
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE32967
LICENSEhttps://creativecommons.org/licenses/by/4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/article/MED/PMC13260302

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