Predicting CYP2C19 catalytic parameters for enantioselective oxidations using artificial neural networks and a chirality code.

about

Improving quantitative structure-activity relationship models using Artificial Neural Networks trained with dropout.Learning epistatic interactions from sequence-activity data to predict enantioselectivity.Learning a Local-Variable Model of Aromatic and Conjugated Systems.

P2860

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P2860

Predicting CYP2C19 catalytic parameters for enantioselective oxidations using artificial neural networks and a chirality code.

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http://www.wikidata.org/entity/Q36906273

description

2013 nî lūn-bûn

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2013年の論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年论文

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2013年论文

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2013年论文

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name

Predicting CYP2C19 catalytic p ...... networks and a chirality code.

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type

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label

Predicting CYP2C19 catalytic p ...... networks and a chirality code.

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prefLabel

Predicting CYP2C19 catalytic p ...... networks and a chirality code.

@en

P1476

Predicting CYP2C19 catalytic p ...... networks and a chirality code.

@en

P2093

Chul-Ho Yun

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Grover P Miller

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

Jerry A Darsey

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Jessica H Hartman

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

Steven D Cothren

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

Sun-Ha Park

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P2860

Evidence that CYP2C19 is the major (S)-mephenytoin 4'-hydroxylase in humans

Metabolism of (+)- and (-)-limonenes to respective carveols and perillyl alcohols by CYP2C9 and CYP2C19 in human liver microsomes

Comparative molecular field analysis and QSAR on substrates binding to cytochrome p450 2D6.

Predictive non-linear modeling of complex data by artificial neural networks.

Automatic assignment of absolute configuration from 1D NMR data.

Quantitative structure-metabolism relationship modeling of metabolic N-dealkylation reaction rates.

Modeling of human cytochrome p450-mediated drug metabolism using unsupervised machine learning approach.

Prediction of enantiomeric excess in a combinatorial library of catalytic enantioselective reactions.

Cytochrome p450 and chemical toxicology.

Structural characteristics of human P450s involved in drug metabolism: QSARs and lipophilicity profiles.

P304

3749-3759

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scholarly article

P356

10.1016/J.BMC.2013.04.044

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English

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2013-04-22T00:00:00Z

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236836327

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23673224

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P921

enantioselectivity

P932

3674096

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Predicting CYP2C19 catalytic parameters for enantioselective oxidations using artificial neural networks and a chirality code.

about

P2860

P2860

Predicting CYP2C19 catalytic parameters for enantioselective oxidations using artificial neural networks and a chirality code.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P577

P5875

P698

P921

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P577

P5875

P698

P921

P932