179 related articles for article (PubMed ID: 31830893)
1. Modeling Physico-Chemical Properties of Quinolone Derivatives Using GA-MLR as a Computational Study.
Shirmohammadi M; Mohammadinasab E; Bayat Z
Curr Comput Aided Drug Des; 2020; 16(6):667-681. PubMed ID: 31830893
[TBL] [Abstract][Full Text] [Related]
2. Quantitative Structure-Activity Relationship Study of Camptothecin Derivatives as Anticancer Drugs Using Molecular Descriptors.
Ahmadinejad N; Shafiei F
Comb Chem High Throughput Screen; 2019; 22(6):387-399. PubMed ID: 31284856
[TBL] [Abstract][Full Text] [Related]
3. QSPR Models to Predict Thermodynamic Properties of Cycloalkanes Using Molecular Descriptors and GA-MLR Method.
Joudaki D; Shafiei F
Curr Comput Aided Drug Des; 2020; 16(1):6-16. PubMed ID: 30827257
[TBL] [Abstract][Full Text] [Related]
4. Genetic Algorithm and Self-Organizing Maps for QSPR Study of Some N-aryl Derivatives as Butyrylcholinesterase Inhibitors.
Ahmadi S; Ganji S
Curr Drug Discov Technol; 2016; 13(4):232-253. PubMed ID: 27457492
[TBL] [Abstract][Full Text] [Related]
5. Application of GA-MLR for QSAR Modeling of the Arylthioindole Class of Tubulin Polymerization Inhibitors as Anticancer Agents.
Ahmadi S; Habibpour E
Anticancer Agents Med Chem; 2017; 17(4):552-565. PubMed ID: 27528182
[TBL] [Abstract][Full Text] [Related]
6. Quantitative Structure-activity Relationship Analysis for Predicting Lipophilicity of Aniline Derivatives (Including some Pharmaceutical Compounds).
Rezaei M; Mohammadinasab E; Esfahani TM
Comb Chem High Throughput Screen; 2019 Aug; 22(5):333-345. PubMed ID: 31446891
[TBL] [Abstract][Full Text] [Related]
7. QSAR Models for Predicting Aquatic Toxicity of Esters Using Genetic Algorithm-Multiple Linear Regression Methods.
Rajabi M; Shafiei F
Comb Chem High Throughput Screen; 2019 Aug; 22(5):317-325. PubMed ID: 31215375
[TBL] [Abstract][Full Text] [Related]
8. QSPR Models for the Prediction of Some Thermodynamic Properties of Cycloalkanes Using GA-MLR Method.
Joudaki D; Shafiei F
Curr Comput Aided Drug Des; 2020; 16(5):571-582. PubMed ID: 31657681
[TBL] [Abstract][Full Text] [Related]
9. Quantitative Structure- Property Relationship (QSPR) Investigation of Camptothecin Drugs Derivatives.
Ahmadinejad N; Shafiei F; Isfahani TM
Comb Chem High Throughput Screen; 2018; 21(7):533-542. PubMed ID: 30264675
[TBL] [Abstract][Full Text] [Related]
10. Rational Design of a Low-Data Regime of Pyrrole Antioxidants for Radical Scavenging Activities Using Quantum Chemical Descriptors and QSAR with the GA-MLR and ANN Concepts.
Xie W; Wiriyarattanakul S; Rungrotmongkol T; Shi L; Wiriyarattanakul A; Maitarad P
Molecules; 2023 Feb; 28(4):. PubMed ID: 36838583
[TBL] [Abstract][Full Text] [Related]
11. Prediction of Lipophilicity of some Quinolone Derivatives by using Quantitative Structure-Activity Relationship.
Shirmohammadi M; Mohammadinasab E; Bayat Z
Curr Drug Discov Technol; 2021; 18(1):83-94. PubMed ID: 31701848
[TBL] [Abstract][Full Text] [Related]
12. DFT based QSAR study on quinolone-triazole derivatives as antibacterial agents.
Ghasedi N; Ahmadi S; Ketabi S; Almasirad A
J Recept Signal Transduct Res; 2022 Aug; 42(4):418-428. PubMed ID: 34693868
[TBL] [Abstract][Full Text] [Related]
13. Effect of the electronic and physicochemical parameters on the carcinogenesis activity of some sulfa drugs using QSAR analysis based on genetic-MLR and genetic-PLS.
Deeb O; Hemmateenejad B; Jaber A; Garduno-Juarez R; Miri R
Chemosphere; 2007 May; 67(11):2122-30. PubMed ID: 17307223
[TBL] [Abstract][Full Text] [Related]
14. Structural Relationship Study of Octanol-Water Partition Coefficient of Some Sulfa Drugs Using GA-MLR and GA-ANN Methods.
Dadfar E; Shafiei F; Isfahani TM
Curr Comput Aided Drug Des; 2020; 16(3):207-221. PubMed ID: 32507103
[TBL] [Abstract][Full Text] [Related]
15. Quantitative Structure-Property Relationship Study for Prediction of Boiling Point and Enthalpy of Vaporization of Alkenes.
Ghaemdoost F; Shafiei F
Curr Comput Aided Drug Des; 2021; 17(6):725-738. PubMed ID: 32586259
[TBL] [Abstract][Full Text] [Related]
16. Quantum chemical calculations to reveal the relationship between the chemical structure and the fluorescence characteristics of phenylquinolinylethynes and phenylisoquinolinylethynes derivatives, and to predict their relative fluorescence intensity.
Riahi S; Beheshti A; Ganjali MR; Norouzi P
Spectrochim Acta A Mol Biomol Spectrosc; 2009 Dec; 74(5):1077-83. PubMed ID: 19854100
[TBL] [Abstract][Full Text] [Related]
17. QSAR Modeling of the Arylthioindole Class of Colchicine Polymerization Inhibitors as Anticancer Agents.
Habibpour E; Ahmadi S
Curr Comput Aided Drug Des; 2017; 13(2):143-159. PubMed ID: 28120704
[TBL] [Abstract][Full Text] [Related]
18. Prediction of Activities of BRAF (V600E) Inhibitors by SW-MLR and GA-MLR Methods.
Pargolghasemi P; Hoseininezhad-Namin MS; Jadid AP
Curr Comput Aided Drug Des; 2017; 13(3):249-261. PubMed ID: 28260510
[TBL] [Abstract][Full Text] [Related]
19. Prediction and application in QSPR of aqueous solubility of sulfur-containing aromatic esters using GA-based MLR with quantum descriptors.
Yin C; Liu X; Guo W; Lin T; Wang X; Wang L
Water Res; 2002 Jul; 36(12):2975-82. PubMed ID: 12171394
[TBL] [Abstract][Full Text] [Related]
20. Quantitative structure-activity relationship for cyclic imide derivatives of protoporphyrinogen oxidase inhibitors: a study of quantum chemical descriptors from density functional theory.
Wan J; Zhang L; Yang G; Zhan CG
J Chem Inf Comput Sci; 2004; 44(6):2099-105. PubMed ID: 15554680
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]