MOLECULAR DOCKING VIRTUAL SCREENING, DRUG-LIKENESS AND PHARMACOKINETICS (ADMET) PROPERTIES PREDICTION OF SOME ENDOMETRIAL CANCER AGENTS

  • Okikiola Aiyedogbon Ahmadu Bello University Zaria
  • Muhammad Tukur Ibrahim Ahmadu Bello University, Zaria
  • Gideon Adamu Shallangwa Ahmadu Bello University Zaria
  • Salisu Muhammad Tahir Kaduna State University
  • Tukur Abubakar
Keywords: Endometrial cancer, estrogen receptor, Lipinski’s rule, malignancy

Abstract

Endometrial or uterine cancer is a malignancy arising from the endometrium of the uterus. Women have a 1 in 40 life-time risk of being diagnosed with endometrial cancer, the fourth most common malig¬nancy among women. Endometrial cancer is the most common gynecological malignancy in the developed world. The binding mode of some endometrial cancer agents in the active site of human estrogen receptor (PDB1*1P) (receptor) was studied via molecular docking. Molecule 6 was identified to have the highest binding energy of -10.1 kcal/mol among other selected compounds which might be as a result of hydrogen bond interactions formed with ASP480 amino acid residues and hydrophobic/other interactions formed with LEU508, LEU479 and ILE451 amino acid residues in the active site of the receptor. The drug-likeness properties of these selected endometrial cancer agents were predicted following the Lipinski’s rule of five and were found to be orally active and bioavailable as they obeyed the used filtering criterion. Based on the pharmacokinetic properties predicted, they were seen to have good ADMET properties. This research proposed a way for designing potent endometrial cancer agents against their target enzyme (human estrogen receptor).

References

Abdullahi, M., Uzairu, A., Shallangwa, G. A., Arthur, D. E., Umar, B. A. and Ibrahim, M. T. (2020). Virtual molecular docking study of some novel carboxamide series as new anti-tubercular agents. European Journal of Chemistry, 11:30-36.

Barr, R. D., Ferrari, A., Ries, L., Whelan, J. and Bleyer, W. A. (2016). Cancer in adolescents and young adults: a narrative review of the current status and a view of the future. JAMA pediatrics, 170:495-501.

Boggess, J. F., Gehrig, P. A., Cantrell, L., Shafer, A., Ridgway, M., Skinner, E. N. and Fowler, W. C. (2008). A comparative study of 3 surgical methods for hysterectomy with staging for endometrial cancer: robotic assistance, laparoscopy, laparotomy. American journal of obstetrics and gynecology, 199:360. e361-360. e369.

Daina, A., Michielin, O. and Zoete, V. (2017). SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules. Scientific reports, 7:42717.

Ferreira, L. G., Dos Santos, R. N., Oliva, G. and Andricopulo, A. D. (2015). Molecular docking and structure-based drug design strategies. Molecules, 20:13384-13421.

Ibrahim, M. T., Uzairu, A., Shallangwa, G. A. and Uba, S. (2019). QSAR modelling and docking analysis of some thiazole analogues asâº-glucosidase inhibitors. The Journal of Engineering and Exact Sciences, 5:0257-0270.

Ibrahim, M. T., Uzairu, A., Shallangwa, G. A. and Uba, S. (2020a). Computer-aided molecular modeling studies of some 2, 3-dihydro-[1, 4] dioxino [2, 3-f] quinazoline derivatives as EGFR WT inhibitors. Beni-Suef University Journal of Basic and Applied Sciences, 9:1-10.

Ibrahim, M. T., Uzairu, A., Shallangwa, G. A. and Uba, S. (2020b). Lead Identification of Some Anti-Cancer Agents with Prominent Activity Against Non-small Cell Lung Cancer (NSCLC) and Structure-Based Design. Chemistry Africa:1-22.

Ibrahim, M. T., Uzairu, A., Uba, S. and Shallangwa, G. A. (2020c). Computational virtual screening and structure-based design of some epidermal growth factor receptor inhibitors. Future Journal of Pharmaceutical Sciences, 6:1-16.

Ibrahim, M. T., Uzairu, A., Uba, S. and Shallangwa, G. A. (2021). Design of more potent quinazoline derivatives as EGFRWT inhibitors for the treatment of NSCLC: a computational approach. Future Journal of Pharmaceutical Sciences, 7:1-11.

Jemal, A., Bray, F., Center, M. M., Ferlay, J., Ward, E. and Forman, D. (2011). Global cancer statistics. CA: a cancer journal for clinicians, 61:69-90.

Li, G., Shao, K. and Umeshappa, C. S. (2019). Recent progress in blood-brain barrier transportation research Brain Targeted Drug Delivery System (pp. 33-51): Elsevier.

Lipinski, C. A. (2004). Lead-and drug-like compounds: the rule-of-five revolution. Drug Discovery Today: Technologies, 1:337-341.

Llauradó, M., Ruiz, A., Majem, B., Ertekin, T., Colás, E., Pedrola, N., Devis, L., Rigau, M., Sequeiros, T. and Montes, M. (2012). Molecular bases of endometrial cancer: new roles for new actors in the diagnosis and the therapy of the disease. Molecular and cellular endocrinology, 358:244-255.

Olasupo, S. B., Uzairu, A., Adamu, G. S. and Uba, S. (2020). Computational Modeling and Pharmacokinetics/ADMET Study of Some Arylpiperazine Derivatives as Novel Antipsychotic Agents Targeting Depression. Chemistry Africa:1-10.

Shadrack, D. M., Mubofu, E. B., Nyandoro, S. S. and Munissi, J. J. (2018). In silico pharmacokinetic, molecular docking and molecular dynamics simulation studies of n-cinnamoyltetraketide derivatives as inhibitors of cyclooxygenase-2 enzyme.

Published
2022-02-21
How to Cite
AiyedogbonO., IbrahimM. T., Adamu ShallangwaG., Muhammad TahirS., & AbubakarT. (2022). MOLECULAR DOCKING VIRTUAL SCREENING, DRUG-LIKENESS AND PHARMACOKINETICS (ADMET) PROPERTIES PREDICTION OF SOME ENDOMETRIAL CANCER AGENTS. FUDMA JOURNAL OF SCIENCES, 5(4), 361 - 367. https://doi.org/10.33003/fjs-2021-0504-833