Levobunolol 0.5% eye drops 0.4ml unit dose preservative free
A nonselective beta-adrenoceptor antagonist used in the treatment of glaucoma.
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Yellow Card reports
The MHRA Yellow Card scheme collects reports of suspected side effects from healthcare professionals and patients. View the Drug Analysis Profile (iDAP) for real-world adverse reaction data.
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Data from the MHRA Yellow Card scheme. A reported reaction does not necessarily mean the medicine caused it. Contains public sector information licensed under the Open Government Licence v3.0.
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2 branded products available
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View full Drug TariffSource: NHS Drug Tariff via NHSBSA. Derived from dm+d VMPP (Virtual Medicinal Product Pack) pricing data. Contains public sector information licensed under the Open Government Licence v3.0.
Therapeutically similar medicines
Similarity is based on WHO Anatomical Therapeutic Chemical (ATC) classification and on a factual NHS dm+d therapeutic-grouping code prefix. Source data: NHS dm+d via TRUD (OGL v3.0), WHO ATC/DDD Index.
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Source: National Institute for Health and Care Excellence (NICE). Contains public sector information licensed under the Open Government Licence v3.0.
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SNOMED CT and dm+d codes from NHS TRUD (Technology Reference data Update Distribution), licensed under the Open Government Licence v3.0. ATC codes from the WHO Collaborating Centre for Drug Statistics Methodology (whocc.no).
Active and completed clinical studies from ClinicalTrials.gov
Source: ClinicalTrials.gov, a database of the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). Data accessed via ClinicalTrials.gov API v2. Trial information is provided for research purposes and does not constitute medical advice.
Academic studies and reviews for this medicine's active substance
Showing the 50 most relevant studies.
Reviews & meta-analyses: 3 · Randomised trials: 1 · 1982–2026
Showing the 50 most relevant studies, sorted by most relevant.
Harasymowycz P, Royer C, Cui AX, et al.
2022
- Ocular Hypertension
- Glaucoma, Open-Angle
- Carteolol
Background/aimsTo assess the comparative efficacy of latanoprostene bunod (LBN), a novel prostaglandin analogue (PGA), to other medications for open-angle glaucoma and ocular hypertension on lowering intraocular pressure (IOP).MethodsA systematic literature review adapted from the Li et al (Ophthalmology, 2016) study was conducted. Medline, Embase and PubMed were searched for randomised controlled trials published between 1 January 2014 and 19 March 2020. Studies had to report IOP reduction after 3 months for at least two different treatments among placebo, PGAs (bimatoprost 0.01%, bimatoprost 0.03%, latanoprost, LBN, tafluprost, unoprostone) or apraclonidine, betaxolol, brimonidine, brinzolamide, carteolol, dorzolamide, levobunolol, timolol, travoprost. A Bayesian network meta-analysis was performed to provide the relative effect in terms of mean difference (95% credible interval) of IOP reduction and ranking probabilities. Surface under the cumulative ranking curve (SUCRA) was generated.ResultsA total of 106 trials were included with data for 18 523 participants. LBN was significantly more effective than unoprostone (-3.45 (-4.77 to -2.12)). Although relative effect was not significative, compared with other PGAs, LBN numerically outperformed latanoprost (-0.70 (-1.83 to 0.43)) and tafluoprost (-0.41 (-1.87 to 1.07)), was similar to bimatoprost 0.01% (-0.02(-1.59 to 1.55)) and was slightly disadvantaged by bimatoprost 0.03% (-0.17 (-1.42 to 1.07)). LBN was significantly more efficient than the beta-blockers apraclonidine, betaxolol, brimonidine, brinzolamide, carteolol, dorzolamide and timolol. According to SUCRA, LBN was ranked second after bimatoprost 0.03%, followed by bimatoprost 0.01%.ConclusionLBN was significantly more effective than the PGA unoprostone and most of the beta-blockers. Compared with the most widely used PGAs, LBN numerically outperformed latanoprost and travoprost and was similar to bimatoprost 0.01%.
Abstract licence: CC BY-NC
W. Behrens-Baumann, F. Kimmich, J. Walt, et al.
Ophthalmologica. Journal international d'ophtalmologie. International journal of ophthalmology. Zeitschrift fur Augenheilkunde, 1994
P. P. Maia, Luciana Guimarães, C. S. Nascimento
Journal of Molecular Modeling, 2023
- Levobunolol
- Molecular Imprinting
- Polymers
Pollyanna Pinto Maia, Rafaela Maia Della-Sávia Freitas, Luciana Guimarães, et al.
Journal of Molecular Modeling, 2026
Abstract Context A detailed molecular-level rationale for the enantioseparation of the β-blocker levobunolol (BUN) by substituted β-cyclodextrins (β-CDs) is presented through high-level computational modeling. The calculations consistently reveal that the therapeutically active (+)-[S]-BUN enantiomer forms more stable inclusion complexes than the (−)-[R]-enantiomer with both carboxymethyl-β-CD (CM-β-CD) and sulfated-β-CD (SF-β-CD) selectors. Non-covalent interaction (NCI) reveals that the superior stability of the S-enantiomer arises from a more continuous dispersive interaction envelope and a more compact network of electrostatic and hydrogen bonds. For the most effective selector, SF-β-CD, the complexation Gibbs free energy (ΔG) in an aqueous medium is −29.5 kcal/mol for (+)-[S]-BUN versus −17.1 kcal/mol for (−)-[R]-BUN. This results in a large free energy difference (ΔΔG) of 12.4 kcal/mol, indicating exceptional enantioselectivity. The NCI isosurfaces also confirm that the S-isomer achieves optimal stereoelectronic complementarity with the host’s sulfate and hydroxyl groups, showing lower steric penalties than the R-isomer. These findings provide a robust prediction of a longer electrophoretic migration time for the (+)-[S]-enantiomer and validate SF-β-CD as a highly efficient chiral selector for BUN, underscoring the power of in silico methods to elucidate complex chiral recognition mechanisms. Methods Semiempirical geometry, frequency, non-covalent, 2nd version, eXtended Tight Binding (GFN2-xTB) and Density Functional Theory (DFT) (ωB97X-D3/6-31G(d,p) and ωB97X-D3/6–311 + G(d,p)) methods were employed in both gas and aqueous phases. NCI analysis was also performed. All DFT and semiempirical calculations were carried out using the ORCA 5.0 software package. The NCI analysis was carried out using the Multiwfn program.
Abstract licence: CC BY 4.0
Pollyanna P. Maia, Luciana Guimarães, Clebio S. Nascimento
Theoretical Chemistry Accounts, 2024
G. Novack
General pharmacology, 1986
J. P. Gonzalez, S. Clissold
Drugs, 1987
Navneet Kumar, Rohan Aggarwal, M. Chauhan
Future Journal of Pharmaceutical Sciences, 2020
Majorly, the reason for the permanent loss of vision is glaucoma. But the currently available common treatment methodologies such as eye drops have various disadvantages like patient incompliance due to repeated administration and poor (1–5%) bioavailability leading to poor efficiency. The objective of this research was to formulate Eudragit-based nanoparticles of levobunolol incorporated into a contact lens to obtain sustained ocular delivery of levobunolol at the therapeutics level. Eudragit nanoparticles of levobunolol were formulated by nanoprecipitation methodology utilizing different ratios of Eudragit S100 and polyvinyl alcohol. The prepared nanoparticles were evaluated and optimized by efficiency of entrapment, particle size, morphology of surface and zeta potential. The optimized nanoparticles were then entrapped into the matrix of the contact lens by the soaking method which were then characterized and compared for optical clarity study, equilibrium swelling study, shelf life and in vitro drug release in simulated tear fluid followed by ex vivo transcorneal permeation study. Formulation F3 was obtained as optimized nanoparticle formulation with 102.61 nm ± 3.92 of particle size, − 22.2 mV ± 2.76 of zeta potential and 86.995% ± 1.902 of efficiency of entrapment. The equilibrium swelling index and transmittance of nanoparticle incorporated into contact lenses showed better results when compared to drug solution-loaded lenses. In vitro release indicated more sustained drug profiles (84.33% ± 0.34 of drug release over a period of 12 days) as compared to drug solution-loaded lenses (89.282% ± 0.900 of drug release over a period of 3 days). Ex vivo transcorneal permeation studies showed more permeation (6.75% ± 0.170) through contact lenses as compared to marketed eye drops (3.03% ± 0.088). This research demonstrates the remarkable results of drug-laden contact lenses to serve as a great medium for the continued delivery of ocular drugs without affecting the physical and optical characteristics of the lens content.
Abstract licence: CC BY 4.0
M. Ciancaglini, P. Carpineto, L. Agnifili, et al.
European Journal of Ophthalmology, 2008
- Goblet Cells
- Conjunctiva
- Ocular Hypertension
Upendra A. Argikar, Jennifer L. Dumouchel, Christine E. Dunne, et al.
Drug Metabolism and Disposition, 2016
- Eye
- Liver
- Rabbits
Sources: aggregated from Europe PMC (EMBL-EBI), OpenAlex, Crossref, PubMed and other open scholarly databases. Retracted articles are excluded. Study information is provided for research purposes and does not constitute medical advice.
Pharmacology and chemical data from DrugBank
Key facts
Drug status
Approved
Major interactions
11 found
Half-life
20 hours
Mechanism
Levobunolol's mechanism of action in reducing IOP is not clearly defined, but is…
Food interactions
None known
Human targets
2 targets
Data: DrugBank · CC BY-NC 4.0
Pharmacokinetics at a glance
Absorption
80%
Half-life
20 hours
Metabolism
Pharmacokinetic data: DrugBank · CC BY-NC 4.0
Known interactions with other medicines. Always consult a healthcare professional.
Showing 34 of 34 interactions
How the body processes this drug — absorption, distribution, metabolism, and elimination
Proteins and enzymes this drug interacts with in the body
Involved in the regulation of sleep/wake behaviors PMID:31473062
Enzymes involved in drug metabolism — important for understanding drug interactions
ATC S01ED03
Chemical identifiers
CAS, UNII, InChI Key and database cross-references
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Chemical identifiers
CAS, UNII, InChI Key and database cross-references
Linked compound data from DrugBank Open Data (CC BY-NC 4.0)
Levobunolol
Additional database identifiers
Drugs Product Database (DPD)
1848
ChemSpider
36089
ZINC
ZINC000003830339
HUGO Gene Nomenclature Committee (HGNC)
HGNC:285
GenAtlas
ADRB1
GeneCards
ADRB1
GenBank Gene Database
J03019
GenBank Protein Database
178200
Guide to Pharmacology
28
UniProt Accession
ADRB1_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:286
GenAtlas
ADRB2
GeneCards
ADRB2
GenBank Gene Database
Y00106
GenBank Protein Database
29371
Guide to Pharmacology
29
UniProt Accession
ADRB2_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2625
GenAtlas
CYP2D6
GeneCards
CYP2D6
GenBank Gene Database
M20403
GenBank Protein Database
181350
Guide to Pharmacology
1329
UniProt Accession
CP2D6_HUMAN
DrugBank citations
If you use DrugBank data in your research, please cite:
- DrugBank 6.02024Recommended citationKnox C., Wilson M., Klinger C.M., et alDrugBank 6.0: the DrugBank Knowledgebase for 2024Nucleic Acids Res. 2024 Jan 552(D1):D1265-D1275
- DrugBank 5.02018Wishart D.S., Feunang Y.D., Guo A.C., et alDrugBank 5.0: a major update to the DrugBank database for 2018Nucleic Acids Res. 2017 Nov 846(D1):D1074-D1082
- DrugBank 4.02014Law V., Knox C., Djoumbou Y., et alDrugBank 4.0: shedding new light on drug metabolismNucleic Acids Res. 2014 Jan 142(1):D1091-7
- DrugBank 3.02011Knox C., Law V., Jewison T., et alDrugBank 3.0: a comprehensive resource for 'omics' research on drugsNucleic Acids Res. 2011 Jan39(Database issue):D1035-41
- DrugBank 2.02008Wishart D.S., Knox C., Guo A.C., et alDrugBank: a knowledgebase for drugs, drug actions and drug targets.Nucleic Acids Research2008 Jan36(Database issue):D901-6
- DrugBank 1.02006Wishart D.S., Knox C., Guo A.C., et alDrugBank: a comprehensive resource for in silico drug discovery and exploration.Nucleic Acids Research2006 Jan 134(Database issue):D668-72