ArticleJournal of molecular modeling2026
Conformational analysis of different tautomers of some antibiotics.
Article in Journal of molecular modeling, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
contextAntibiotics are among the most commonly prescribed medications and are among the most widely used drugs, essential for treating various bacterial infections. However, these molecules adopt different tautomeric conformations in the cellular environment. Therefore, understanding tautomerism in antibiotics is crucial for their recognition by receptors and the design of more effective antibiotics. In this study, a systematic conformational analysis of 23 Food and Drug Administration (FDA)-approved antibiotics across five major classes is performed to identify their most stable and active tautomeric conformations in biological media. In doing so, 105 tautomers of different antibiotics were generated. It is found that Doxycycline favours three degenerate tautomeric conformations and therefore, all these conformers can influence the receptor binding. However, other antibiotics exhibited a single distinct energetically favourable tautomeric conformation. The second most stable tautomer of all antibiotics, except Doxycycline, is ~8-27 kcal/mol less stable than its most stable counterpart. Hence, they may rarely populate in cells. However, the docking scores of the two most stable tautomers bound to their protein and DNA receptors are comparable. It is therefore proposed that the two most stable tautomers of each antibiotic should be considered to explore their substrate-inhibitory activities.
methodsInitially, the ωB97X-D dispersion-corrected density functional theoretic method and 6-31 + G* basis set were used to optimize all tautomers of different antibiotics in the implicit aqueous medium. Subsequently, the ωB97X-D/AUG-cc-pVDZ level of theory was used to refine total electronic energies in the aqueous medium. The SCRF and IEFPCM methods were used to model the aqueous medium. The Gaussian 09 program was used for geometry optimizations and binding energy calculations. Autodock 1.5.7 was used for the molecular docking of the two most stable tautomers of different antibiotics into the substrate active site of their receptors.
Indexed as
Identifiers
41843226What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.