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STUDI HUBUNGAN KUANTITATIF STRUKTUR-AKTIVITAS (HKSA) DAN DOCKING MOLEKULER SENYAWA TURUNAN OXABICYCLOHEPTENE SULFONAMIDE (OBHS) SEBAGAI ANTAGONIS RESEPTOR ESTROGEN- α PADA TERAPI KANKER LEHER RAHIM (SERVIKS) Nursalam Hamzah; Afrisusnawati Rauf; Asyraful Anam
Jurnal Farmasi UIN Alauddin Makassar Vol 2 No 1 (2014): Jurnal Farmasi
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jurfar.v2i1.2171

Abstract

A research study of quantitative structure-activity relationship (QSAR) and molecular docking of Oxabicycloheptene Sulfonamide (OBHS) derivates as Estrogen Receptor α (ERα) antagonist in Cervical Cancer treatment was performed. This study aims to find similarities QSAR models of Oxabicycloheptene Sulfonamide derivates as ERα antagonist and assess the interaction model of Oxabicycloheptene Sulfonamide derivates towards the side of the ERα (pdb code:   1G50   and   3ERT)   binding   (binding   site).   In   this   research   tested   against   9 Oxabicycloheptene Sulfonamide derivate compounds. The first, drawing compounds and ab initio optimization at the HyperChem program. Further test descriptor values, statistical calculation method multilinier regression analysis, z-score validation and Leave-One-Out validation method. Obtained from experiments performed equation : log 1/IC50 = 5.2006 + (- 3.52E-06 AM1_Eele) + (4.46E-05 AM1_HF) + (0.5737 log S) + (0.8919 mr) + (-0.0392 vol), which n = 9, r2 = 0.9404, and q2 = 0.7388. In the process of molecular docking, ligand and receptor preparation done first before to performing docking simulation. Obtained results from docking to protein code 1G50 experiments which compound 13 showed better results with a docking score (S) -12.2016. Then, results from docking to protein code 3ERT experiments which compound 12 showed better results with a docking score (S) -10.3484.
STUDI HUBUNGAN KUANTITATIF STRUKTUR-AKTIFITAS (HKSA)SENYAWA TURUNAN 4-AMINOQUINOLIN PIRIMIDIN, DOCKING MOLEKUL, PENELUSURAN FARMAKOFOR, VIRTUAL SCREENING, UJI TOKSISITAS, DAN PROFIL FARMAKOKINETIK SEBAGAI ANTIMALARIA SECARA IN SILICO Nursalam Hamzah; Afrisusnawati Rauf; Ariwanti Ariwanti
Jurnal Farmasi UIN Alauddin Makassar Vol 3 No 4 (2015): Jurnal Farmasi
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jurfar.v3i4.2225

Abstract

A research of quantitative structure-activity relationship (QSAR), molecular docking, searching pharmacophore, virtual screening, toxicity test, and Pharmacokinetic Profile of 4-Aminoquinoline Pyrimidine Derivative Compounds as Plasmepsin enzyme inhibitor as Antimalarial by in silico has been conducted. This study aims to find the QSAR model equation of 4-Aminoquinoline Pyrimidine derivative compounds,  to find pharmacophore features of compounds that responsible for inhibition activity of Plasmepsin enzyme in Plasmodium falciparum, as well as to select compounds from virtual screening results then determine the pharmacocinetic profile, and the toxicity of metabolites for malaria treatment. The procedure begins with the modelling and ab initio geometry optimization of the molecular structure by HyperChem 8.0. QSAR descriptors calculation, pharmacophore feature determination and molecular docking are done by using MOE 2009. Furthermore, toxicity testing by Toxtree and AdmetSAR, as well as pharmacokinetic profile determination by using PreADME done to 150.000 natural product compounds from zinc database. From the experiments, the equation obtained: 1/IC50 = 5.3757 + (0.7514 AM1_HOMO) + (-0.3100 log P (o/w)) + (0.0065 vdw_vol), where r2 = 0.9282 dan q2 = 0.9282, beside that molecular docking results for protein code 2IGX compound 13 showed better results with the value of docking score (S) is -129.7491.  As for the compounds of zinc database, the result is a compound with code ZINC32501354 and ZINC32501366 are choosen compound among 150.000 compounds in terms of suitability of the pharmacophore query, docking by pharmacophore method, bioavailability prediction using Lipinski rule of five and from the prediction of ADME/T