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Mostrando resultados 1 a 19 de 19
Ant colony optimization as a feature selection method in QSAR modeling of anti-HIV-1 activities of 3-(3,5-Dimethylbenzyl)uracil derivatives using MLR and SVM regression
Goodarzi, Mohammad; Freitas, Matheus P.; Jensen, Richard
14-Jun-2020
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Feature selection and linear/non-linear regression methods for the accurate prediction of glycogen synthase kinase-3β inhibitory activities
Goodarzi, Mohammad; Freitas, Matheus P.; Jensen, Richard
14-Jun-2020
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Improvement of MIA-QSAR analysis by using wavelet-pca ranking variable selection and LS-SVM regression: QSAR study of checkpoint kinase WEE1 inhibitors
Cormanich, Rodrigo A.; Goodarzi, Mohammad; Freitas, Matheus P.
14-Jun-2020
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Influence of changes in 2D chemical structure drawings and image formats on the prediction of biological properties using MIA-QSAR
Goodarzi, Mohammad; Freitas, Matheus P.; Ferreira, Eric B.
14-Jun-2020
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Linear and nonlinear QSAR modeling of the HIV-1 reverse transcriptase inhibiting activities of thiocarbamates
Goodarzi, Mohammad; Freitas, Matheus P.; Heyden, Yvan Vander
12-Jul-2020
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MIA-QSAR coupled to different regression methods for the modeling of antimalarial activities of 2-aziridinyl and 2,3-bis-(aziridinyl)-1,4-naphtoquinonyl sulfate and acylate derivatives
Goodarzi, Mohammad; Freitas, Matheus P.
12-Jul-2020
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MIA-QSAR coupled to principal component analysis-adaptive neuro-fuzzy inference systems (PCA-ANFIS) for the modeling of the anti-HIV reverse transcriptase activities of TIBO derivatives
Goodarzi, Mohammad; Freitas, Matheus P.
12-Jul-2020
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MIA-QSAR modeling of activities of a series of AZT analogues: bi- and multilinear PLS regression
Goodarzi, Mohammad; Freitas, Matheus Puggina de
12-Jul-2020
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MIA-QSAR, PC-Ranking and least-squares support-vector machines in the accurate prediction of the activities of Phosphodiesterase Type 5 (PDE-5) inhibitors
Goodarzi, Mohammad; Freitas, Matheus P.
12-Jul-2020
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On the use of PLS and N-PLS in MIA-QSAR: Azole antifungals
Goodarzi, Mohammad; Freitas, Matheus P.
14-Jun-2020
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pKa modeling and prediction of a series of pH indicators through genetic algorithm-least square support vector regression
Goodarzi, Mohammad; Freitas, Matheus P.; Wu, Chih H.; Duchowicz, Pablo R.
12-Jul-2020
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PLS and N-PLS-based MIA-QSTR modeling of the acute toxicities of phenylsulfonyl carboxylates to Vibrio fischeri
Goodarzi, Mohammad; Freitas, Matheus P.
12-Jul-2020
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Prediction of 13C chemical shifts in methoxyflavonol derivatives using MIA-QSPR
Goodarzi, Mohammad; Freitas, Matheus P.; Ramalho, Teodorico C.
18-Mai-2020
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Prediction of electrophoretic enantioseparation of aromatic amino acids/esters through MIA-QSPR
Goodarzi, Mohammad; Freitas, Matheus P.
24-Jun-2020
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Prediction of the Hildebrand parameter of various solvents using linear and nonlinear approaches
Goodarzi, Mohammad; Duchowicz, Pablo R.; Freitas, Matheus P.; Fernández, Francisco M.
12-Jul-2020
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Principal component analysis-adaptive neuro-fuzzy inference systems (ANFIS) for the simultaneous spectrophotometric determination of three metals in water samples
Goodarzi, Mohammad; Olivieri, Alejandro C.; Freitas, Matheus P.
14-Jun-2020
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QSAR and docking studies of novel antileishmanial diaryl sulfides and sulfonamides
Goodarzi, Mohammad; Cunha, Elaine F. F. da; Freitas, Matheus P.; Ramalho, Teodorico C.
26-Jan-2018
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QSAR studies of bioactivities of 1-(azacyclyl)-3-arylsulfonyl-1H-pyrrolo[2,3-b]pyridines as 5-HT6 receptor ligands using physicochemical descriptors and MLR and ANN-modeling
Goodarzi, Mohammad; Freitas, Matheus P.; Ghasemi, Nahid
12-Jul-2020
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QSPR predictions of heat of fusion of organic compounds using bayesian regularized artificial neural networks
Goodarzi, Mohammad; Chen, Tao; Freitas, Matheus P.
12-Jul-2020
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