QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP ANALYSIS (QSAR) OF VINCADIFFORMINE ANALOGUES AS THE ANTIPLASMODIAL COMPOUNDS OF THE CHLOROQUINOSENSIBLE STRAIN
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| 1. | Title | Title of document | QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP ANALYSIS (QSAR) OF VINCADIFFORMINE ANALOGUES AS THE ANTIPLASMODIAL COMPOUNDS OF THE CHLOROQUINOSENSIBLE STRAIN |
| 2. | Creator | Author's name, affiliation, country | Iqmal Tahir; Austrian-Indonesian Centre for Computational Chemistry (AIC), Chemistry Department, Faculty of Mathematics and Natural Sciences, Gadjah Mada University, Jogjakarta 55281; Indonesia |
| 2. | Creator | Author's name, affiliation, country | Mudasir Mudasir; Austrian-Indonesian Centre for Computational Chemistry (AIC), Chemistry Department, Faculty of Mathematics and Natural Sciences, Gadjah Mada University, Jogjakarta 55281; Indonesia |
| 2. | Creator | Author's name, affiliation, country | Irza Yulistia; Austrian-Indonesian Centre for Computational Chemistry (AIC), Chemistry Department, Faculty of Mathematics and Natural Sciences, Gadjah Mada University, Jogjakarta 55281; Indonesia |
| 2. | Creator | Author's name, affiliation, country | Mustofa Mustofa; Pharmacology Laboratory, Medical Faculty, Universitas Gadjah Mada, Jogjakarta, 55281.; Indonesia |
| 3. | Subject | Discipline(s) | |
| 3. | Subject | Keyword(s) | QSAR analysis; antimalaria; vincadifformine |
| 4. | Description | Abstract | Quantitative Structure-Activity Relationship (QSAR) analysis of vincadifformine analogs as an antimalarial drug has been conducted using atomic net charges (q), moment dipole (μ), LUMO (Lowest Unoccupied Molecular Orbital) and HOMO (Highest Occupied Molecular Orbital) energies, molecular mass (m) as well as surface area (A) as the predictors to their activity. Data of predictors are obtained from computational chemistry method using semi-empirical molecular orbital AM1 calculation. Antimalarial activities were taken as the activity of the drugs against chloroquine-sensitive Plasmodium falciparum (Nigerian Cell) strain and were presented as the value of ln(1/IC50) where IC50 is an effective concentration inhibiting 50% of the parasite growth. The best QSAR model has been determined by multiple linier regression analysis giving QSAR equation: Log (1/IC50) = 9.602.qC1 -17.012.qC2 +6.084.qC3 -19.758.qC5 -6.517.qC6 +2.746.qC7 -6.795.qN +6.59.qC8 -0.190.μ -0.974.ELUMO +0.515.EHOMO -0.274.α +0.029.A -1.673 (n = 16; r = 0.995; SD = 0.099; F = 2.682) |
| 5. | Publisher | Organizing agency, location | Universitas Gadjah Mada |
| 6. | Contributor | Sponsor(s) | |
| 7. | Date | (YYYY-MM-DD) | 2010-06-15 |
| 8. | Type | Status & genre | Peer-reviewed Article |
| 8. | Type | Type | |
| 9. | Format | File format | Full Text PDF |
| 10. | Identifier | Uniform Resource Identifier | https://jurnal.ugm.ac.id/ijc/article/view/21800 |
| 10. | Identifier | Digital Object Identifier (DOI) | https://doi.org/10.22146/ijc.21800 |
| 11. | Source | Title; vol., no. (year) | Indonesian Journal of Chemistry; Vol 5, No 3 (2005) |
| 12. | Language | English=en | en |
| 13. | Relation | Supp. Files | |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
| 15. | Rights | Copyright and permissions |
Copyright (c) 2010 Indonesian Journal of Chemistry This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. |