1Department of Chemistry, Faculty of Mathematics and Natural Sciences, Jenderal Soedirman University, Jl. dr. Soeparno No 61, Karangwangkal, Purwokerto 53122, Indonesia
2Al Irsyad Al Islamiyyah Integrated Islamic Senior High School, Jl. Raya Kebumen-Baturraden KM. 10, Banyumas, Central Java 53151, Indonesia, Indonesia
3Al Irsyad Al Islamiyyah Integrated Islamic Senior High School, Jl. Raya Kebumen-Baturraden KM. 10, Banyumas, Central Java 53151, Indonesia
4 Department of Pharmacy, Faculty of Health Sciences, Jenderal Soedirman University, Jl. dr. Soeparno, Karangwangkal, Purwokerto 53122, Indonesia
BibTex Citation Data :
@article{JKSA53504, author = {Ponco Iswanto and Irvan Maulana Firdaus and Ahmad Fawwaz Dafaulhaq and Ahmad Ghifari Ramadhani and Maylani Permata Saputri and Heny Ekowati}, title = {Quantitative Structure-Activity Relationship of 3-Thiocyanate-1H-Indoles Derived Compounds as Antileukemia by AM1, PM3, and RM1 Methods}, journal = {Jurnal Kimia Sains dan Aplikasi}, volume = {26}, number = {3}, year = {2023}, keywords = {anticancer; QSAR; 3-thiocyanato-1H-indoles; semi-empirical}, abstract = { Cancer is a disease with fatal consequences; thus, searching for innovative compounds with anticancer properties remains an active pursuit. One of the highly promising candidates is a compound derived from 3-thiocyanato-1H-indoles. However, the number of derivative compounds is currently limited. A quantitative structure and activity relationship (QSAR) study was conducted on derivate compounds 3-thiocyanato-1H-indoles to establish equations that predict the anticancer activity of more effective derivatives. This study aims to compare the effectiveness of the AM1 (Austin Model 1), PM3 (Parameterized Model 3), and RM1 (Recife Model 1) semiempirical methods, which are new techniques implemented in the Hyperchem version 8.0. Twenty experimental data were used, 16 derivatives of 3-thiocyanate-1H-indoles as regression compounds (fitting) and four derivates as test compounds. QSAR analysis was performed based on multiple linear regression calculations on 3-thiocyanate-1H-indoles derivative compounds by plotting IC 50 (µM) as the dependent variable and descriptors as the independent variable. The best QSAR equation was obtained from the AM1 semiempirical calculation method with the following equation: IC 50 = -1.705 + 0.511(Delta) + 0.346(Dipol) + 18.287(qC 9 ) – 0.645(Log P) + 13.952(qC 6 ), with n =20; r =0.814; r 2 =0.662; The standard error (SE) =1.044; Fcount/Ftable =1.851; PRESS =15.219. }, issn = {2597-9914}, pages = {109--117} doi = {10.14710/jksa.26.3.109-117}, url = {https://ejournal.undip.ac.id/index.php/ksa/article/view/53504} }
Refworks Citation Data :
Cancer is a disease with fatal consequences; thus, searching for innovative compounds with anticancer properties remains an active pursuit. One of the highly promising candidates is a compound derived from 3-thiocyanato-1H-indoles. However, the number of derivative compounds is currently limited. A quantitative structure and activity relationship (QSAR) study was conducted on derivate compounds 3-thiocyanato-1H-indoles to establish equations that predict the anticancer activity of more effective derivatives. This study aims to compare the effectiveness of the AM1 (Austin Model 1), PM3 (Parameterized Model 3), and RM1 (Recife Model 1) semiempirical methods, which are new techniques implemented in the Hyperchem version 8.0. Twenty experimental data were used, 16 derivatives of 3-thiocyanate-1H-indoles as regression compounds (fitting) and four derivates as test compounds. QSAR analysis was performed based on multiple linear regression calculations on 3-thiocyanate-1H-indoles derivative compounds by plotting IC50 (µM) as the dependent variable and descriptors as the independent variable. The best QSAR equation was obtained from the AM1 semiempirical calculation method with the following equation: IC50 = -1.705 + 0.511(Delta) + 0.346(Dipol) + 18.287(qC9) – 0.645(Log P) + 13.952(qC6), with n =20; r =0.814; r2 =0.662; The standard error (SE) =1.044; Fcount/Ftable =1.851; PRESS =15.219.
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