The applications of PCA in QSAR studies: A case study on CCR5 antagonists.

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The applications of PCA in QSAR studies: A case study on CCR5 antagonists.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年學術文章

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The applications of PCA in QSAR studies: A case study on CCR5 antagonists.

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The applications of PCA in QSAR studies: A case study on CCR5 antagonists.

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The applications of PCA in QSAR studies: A case study on CCR5 antagonists.

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P1476

The applications of PCA in QSAR studies: A case study on CCR5 antagonists

@en

P2093

ChangKyoo Yoo

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P2860

Beware of q2!

QSAR study of anthranilic acid sulfonamides as inhibitors of methionine aminopeptidase-2 using LS-SVM and GRNN based on principal components.

Antagonists of the human CCR5 receptor as anti-HIV-1 agents. Part 4: synthesis and structure-activity relationships for 1-[N-(methyl)-N-(phenylsulfonyl)amino]-2-(phenyl)-4-(4-(N-(alkyl)-N-(benzyloxycarbonyl)amino)piperidin-1-yl)butanes.

Application of predictive QSAR models to database mining: identification and experimental validation of novel anticonvulsant compounds.

Computational evaluation of some indenopyrazole derivatives as anticancer compounds; application of QSAR and docking methodologies.

Application of partial least squares and radial basis function neural networks in multivariate imaging analysis-quantitative structure activity relationship: study of cyclin dependent kinase 4 inhibitors.

Validated QSAR analysis of some diaryl substituted pyrazoles as CCR2 inhibitors by various linear and nonlinear multivariate chemometrics methods.

Application of PC-ANN and PC-LS-SVM in QSAR of CCR1 antagonist compounds: a comparative study.

Principal component analysis

P304

137-152

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P31

scholarly article

P356

10.1111/CBDD.13064

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P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Mohsen Shahlaei

P577

2017-08-14T00:00:00Z

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P698

28656625

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