182 related articles for article (PubMed ID: 36838583)
1. 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]
2. 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]
3. Quantitative Structure Activity Relationship Models for the Antioxidant Activity of Polysaccharides.
Li Z; Nie K; Wang Z; Luo D
PLoS One; 2016; 11(9):e0163536. PubMed ID: 27685320
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Linear and non-linear quantitative structure-activity relationship models on indole substitution patterns as inhibitors of HIV-1 attachment.
Nirouei M; Ghasemi G; Abdolmaleki P; Tavakoli A; Shariati S
Indian J Biochem Biophys; 2012 Jun; 49(3):202-10. PubMed ID: 22803336
[TBL] [Abstract][Full Text] [Related]
6. A self-adaptive genetic algorithm-artificial neural network algorithm with leave-one-out cross validation for descriptor selection in QSAR study.
Wu J; Mei J; Wen S; Liao S; Chen J; Shen Y
J Comput Chem; 2010 Jul; 31(10):1956-68. PubMed ID: 20512843
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Application of ab initio theory to QSAR study of 1,4-dihydropyridine-based calcium channel blockers using GA-MLR and PC-GA-ANN procedures.
Hemmateenejad B; Safarpour MA; Miri R; Taghavi F
J Comput Chem; 2004 Sep; 25(12):1495-503. PubMed ID: 15224393
[TBL] [Abstract][Full Text] [Related]
10. Prediction of Oral Acute Toxicity of Organophosphates Using QSAR Methods.
Kianpour M; Mohammadinasab E; Isfahani TM
Curr Comput Aided Drug Des; 2021; 17(1):38-56. PubMed ID: 31880265
[TBL] [Abstract][Full Text] [Related]
11. Comparison of Multiple Linear Regressions and Neural Networks based QSAR models for the design of new antitubercular compounds.
Ventura C; Latino DA; Martins F
Eur J Med Chem; 2013; 70():831-45. PubMed ID: 24246731
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Comparative chemometric modeling of cytochrome 3A4 inhibitory activity of structurally diverse compounds using stepwise MLR, FA-MLR, PLS, GFA, G/PLS and ANN techniques.
Roy K; Pratim Roy P
Eur J Med Chem; 2009 Jul; 44(7):2913-22. PubMed ID: 19128860
[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. Non-Linear Quantitative Structure⁻Activity Relationships Modelling, Mechanistic Study and In-Silico Design of Flavonoids as Potent Antioxidants.
Žuvela P; David J; Yang X; Huang D; Wong MW
Int J Mol Sci; 2019 May; 20(9):. PubMed ID: 31083440
[TBL] [Abstract][Full Text] [Related]
16. Quantitative structure-property relationship modelling of the degradability rate constant of alkenes by OH radicals in atmosphere.
Fatemi MH; Baher E
SAR QSAR Environ Res; 2009; 20(1-2):77-90. PubMed ID: 19343584
[TBL] [Abstract][Full Text] [Related]
17. Comparison of QSAR models based on combinations of genetic algorithm, stepwise multiple linear regression, and artificial neural network methods to predict Kd of some derivatives of aromatic sulfonamides as carbonic anhydrase II inhibitors.
Maleki A; Daraei H; Alaei L; Faraji A
Bioorg Khim; 2014; 40(1):70-84. PubMed ID: 25898725
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Insights into antioxidant activity of 1-adamantylthiopyridine analogs using multiple linear regression.
Worachartcheewan A; Nantasenamat C; Owasirikul W; Monnor T; Naruepantawart O; Janyapaisarn S; Prachayasittikul S; Prachayasittikul V
Eur J Med Chem; 2014 Feb; 73():258-64. PubMed ID: 24412501
[TBL] [Abstract][Full Text] [Related]
20. QSAR analysis on a large and diverse set of potent phosphoinositide 3-kinase gamma (PI3Kγ) inhibitors using MLR and ANN methods.
Sadeghi F; Afkhami A; Madrakian T; Ghavami R
Sci Rep; 2022 Apr; 12(1):6090. PubMed ID: 35414065
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
