Evidence map›Paper›PMID 30784007›Full record

ArticleDaru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences2019

Optimization of structures, biochemical properties of ketorolac and its degradation products based on computational studies.

Monir Uzzaman, Mohammad Nasir Uddin

Abstract read
In one paragraph

Article in Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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  6. Computational identification ofFrontiers in pharmacology · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Monir UzzamanDepartment of Chemistry, University of Chittagong, Chittagong, 4331, Bangladesh.
Mohammad Nasir UddinDepartment of Chemistry, University of Chittagong, Chittagong, 4331, Bangladesh. nasircu72@gmail.com.ORCID http://orcid.org/0000-0003-1235-2081

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKetorolac (KTR) is used as an analgesic drug with an efficacy close to that of the opioid family. It is mainly used for the short term treatment of post-operative pain. It can inhibit the prostaglandin synthesis by blocking cyclooxygenase (COX).

methodsIn this investigation, the inherent stability and biochemical interaction of Ketorolac (KTR) and its degradation products have been studiedon the basis of quantum mechanical approaches. Density functional theory (DFT) with B3LYP/ 6-31G (d) has been employed to optimize the structures. Thermodynamic properties, frontier molecular orbital features, dipole moment, electrostatic potential, equilibrium geometry, vibrational frequencies and atomic partial charges of these optimized structureswere investigated. Molecular docking has been performed against prostaglandin H2 (PGH2) synthase protein 5F19 to search the binding affinity and mode(s). ADMET prediction has performed to evaluate the absorption, metabolism and carcinogenic properties.

resultsThe equilibrium geometry calculations support the optimized structures. Thermodynamic results disclosed the thermal stability of all structures. From molecular orbital data, all the degradents are chemically more reactive than parent drug (except K3). However, the substitution of carboxymethyl radicalin K4 improved the physicochemical properties and binding affinity. ADMET calculations predict the improved pharmacokinetic and non-carcinogenic properties of all degradents.

conclusionBased on physicochemical, molecular docking, and ADMET calculation, this study can be helpful to understand the biochemical activities of Ketorolac and its degradents and to design a potent analgesic drug.

Indexed as

Binding SitesDensity Functional TheoryHumansKetorolacModels, MolecularMolecular Docking SimulationProstaglandin-Endoperoxide SynthasesProtein BindingQuantum TheoryThermodynamicsKetorolacProstaglandin-Endoperoxide SynthasesDensity functional theoryHOMO-LUMOKetorolacMEPMolecular dockingPharmacokinetics

Identifiers

PMID30784007
PMCPMC6593035

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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.