Molecular Docking and ADMET Analysis Strategy-Based Stability Indicating RP-HPLC-PDA Method Development and Validation of Toremifene.
Curr Comput Aided Drug Des
; 2024 Mar 13.
Article
in En
| MEDLINE
| ID: mdl-38486382
ABSTRACT
BACKGROUND:
The purpose of this research is to develop an analytical method and validate it according to ICH guidelines for the estimation of Toremifene by RP-HPLC-PDA with molecular docking and ADMET analysis. From molecular docking, it came to know the receptor affinity specifically to estrogen receptors (ERα and ERß), which are responsible for cancer therapy. ADMET analyses secure its therapeutic potential as well safety of the drug.METHODS:
An isocratic method has developed by RP-HPLC-PDA (AGILENT 1100) with symmetry of 100 mm x 4.6 mm x 5 µm particle size C18 column and optimise mobile phase is methanol 0.1% OPA (orthophosphoric acid) water ratio of 4357% v/v. Under different conditions like acidic, alkaline, oxidative, and neutral environments, toremifene was tested for degradation.RESULTS:
The developed method is validated in accordance with ICH guidelines. A calibration curve with an r2 value of 0.9987 has been prepared across the range of 10 to 50 µg/ml with five standard dilutions. The retention time of the drug is 5.575 minutes. The validation results are system suitability (%RSD-0.76), inter-day precision (%RSD 0.14-0.29), intraday precision (%RSD 0.08-0.34), accuracy (%RSD 0.16-0.96), and robustness (%RSD 0.16-0.35). In different intended conditions, four peaks are in 1 N HCl, two peaks in 1 N NaOH, three peaks in 10% H2O2 (1hr), and one peak in neutral.CONCLUSION:
Toremifene, a Selective Estrogen Receptor Modulator (SERM), Drug pharmacokinetic properties and receptor binding affinity results are helpful in designing the analytical method. Developing the RP-HPLC-PDA method is found to be novel, simple and precise. It could be used for testing toremifene in bulk and pharmaceutical tablet dosage forms in quality control, as well as stability tests.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Language:
En
Journal:
Curr Comput Aided Drug Des
Journal subject:
FARMACOLOGIA
/
INFORMATICA MEDICA
Year:
2024
Document type:
Article
Affiliation country:
Saudi Arabia
Country of publication:
United Arab Emirates