Literature DB >> 30784007

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

Monir Uzzaman1,2, Mohammad Nasir Uddin3.   

Abstract

BACKGROUND: Ketorolac (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).
METHODS: In 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.
RESULTS: The 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.
CONCLUSION: Based 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.

Entities:  

Keywords:  Density functional theory; HOMO-LUMO; Ketorolac; MEP; Molecular docking; Pharmacokinetics

Mesh:

Substances:

Year:  2019        PMID: 30784007      PMCID: PMC6593035          DOI: 10.1007/s40199-019-00243-w

Source DB:  PubMed          Journal:  Daru        ISSN: 1560-8115            Impact factor:   3.117


  3 in total

1.  Structural modification of aspirin to design a new potential cyclooxygenase (COX-2) inhibitors.

Authors:  Monir Uzzaman; Tareq Mahmud
Journal:  In Silico Pharmacol       Date:  2020-03-04

2.  Characterization, molecular modeling and pharmacology of some 2́-hydroxychalcone derivatives as SARS-CoV-2 inhibitor.

Authors:  Mohammad Nasir Uddin; Sayeda Samina Ahmed; Monir Uzzaman; Md Nazmul Hassan Knock; Wahhida Shumi; Abul Fazal Md Sanaullah; Md Mosharef Hossain Bhuyain
Journal:  Results Chem       Date:  2022-03-16

3.  Titanium (IV) complexes of some tetra-dentate symmetrical bis-Schiff bases of 1,6-hexanediamine: Synthesis, characterization, and in silico prediction of potential inhibitor against coronavirus (SARS-CoV-2).

Authors:  Mohammad Nasir Uddin; Md Shaharier Amin; Md Saifur Rahman; Sonia Khandaker; Wahhida Shumi; Md Atiar Rahman; Sheikh Mahbubur Rahman
Journal:  Appl Organomet Chem       Date:  2020-10-19       Impact factor: 4.072

  3 in total

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