Comparison of methods for chemical-compound affinity prediction.

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Comparison of methods for chemical-compound affinity prediction.

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2006 nî lūn-bûn

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2006年の論文

@ja

2006年学术文章

@wuu

2006年学术文章

@zh

2006年学术文章

@zh-cn

2006年学术文章

@zh-hans

2006年学术文章

@zh-my

2006年学术文章

@zh-sg

2006年學術文章

@yue

2006年學術文章

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name

Comparison of methods for chemical-compound affinity prediction.

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Comparison of methods for chemical-compound affinity prediction.

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Item

label

Comparison of methods for chemical-compound affinity prediction.

@en

Comparison of methods for chemical-compound affinity prediction.

@nl

prefLabel

Comparison of methods for chemical-compound affinity prediction.

@en

Comparison of methods for chemical-compound affinity prediction.

@nl

P1476

Comparison of methods for chemical-compound affinity prediction.

@en

P2093

Koike A

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P2860

Random Forests

Prediction of genotoxicity of chemical compounds by statistical learning methods

Classification of multidrug-resistance reversal agents using structure-based descriptors and linear discriminant analysis.

Structure-affinity relationship study on N-(1,2,3,4-tetrahydronaphthalen-1-yl)-4-aryl-1-piperazinealkylamides, a new class of 5-hydroxytryptamine7 receptor agents.

Structure-activity relationship for human cytochrome P450 substrates and inhibitors.

Extended adjuvant endocrine therapy of early breast cancer.

A pharmacophore-based evolutionary approach for screening selective estrogen receptor modulators.

Development and evaluation of an in silico model for hERG binding.

Binding of tryptamine analogs at h5-HT1E receptors: a structure-affinity investigation.

1,2,5-Thiadiazole derivatives are potent and selective ligands at human 5-HT1A receptors.

P304

497-514

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scholarly article

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10.1080/10629360600934168

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2006-10-01T00:00:00Z

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17018425

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