(Q48960045)

17 February 2018

title

Predictive model of blood-brain barrier penetration of organic compounds. (English)

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17 February 2018

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Xiao-lei Ma

1

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17 February 2018

Cheng Chen

series ordinal

2

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17 February 2018

Jie Yang

series ordinal

3

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17 February 2018

publication date

1 April 2005

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17 February 2018

Acta Pharmacologica Sinica

published in

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17 February 2018

volume

26

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17 February 2018

issue

4

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17 February 2018

page(s)

500-512

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17 February 2018

https://scigraph.springernature.com/pub.10.1111/j.1745-7254.2005.00068.x

exact match

0 references

cites work

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Development of quantitative structure-property relationship models for early ADME evaluation in drug discovery. 2. Blood-brain barrier penetration.

21 January 2018

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Application of Genetic Function Approximation to Quantitative Structure-Activity Relationships and Quantitative Structure-Property Relationships

21 January 2018

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Computation of brain-blood partitioning of organic solutes via free energy calculations.

21 January 2018

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Prediction of the brain-blood distribution of a large set of drugs from structurally derived descriptors using partial least-squares (PLS) modeling

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Rapid calculation of polar molecular surface area and its application to the prediction of transport phenomena. 2. Prediction of blood-brain barrier penetration

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Predicting blood-brain barrier partitioning of organic molecules using membrane-interaction QSAR analysis

21 January 2018

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Predicting Caco-2 cell permeation coefficients of organic molecules using membrane-interaction QSAR analysis

21 January 2018

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Predicting blood-brain barrier permeation from three-dimensional molecular structure.

21 January 2018

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On the partition of ampholytes: application to blood-brain distribution.

21 January 2018

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Brain/blood distribution described by a combination of partition coefficient and molecular mass

21 January 2018

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10.1111/J.1745-7254.2005.00068.X

21 January 2018

Identifiers

DOI

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17 February 2018

Dimensions Publication ID

1048392432

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17 February 2018