Six global and local QSPR models of aqueous solubility at pH = 7.4 based on structural similarity and physicochemical descriptors.

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Six global and local QSPR models of aqueous solubility at pH = 7.4 based on structural similarity and physicochemical descriptors.

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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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Six global and local QSPR mode ...... d physicochemical descriptors.

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Six global and local QSPR mode ...... d physicochemical descriptors.

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Six global and local QSPR mode ...... d physicochemical descriptors.

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Six global and local QSPR mode ...... d physicochemical descriptors.

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Six global and local QSPR mode ...... d physicochemical descriptors.

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Six global and local QSPR mode ...... d physicochemical descriptors.

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P1476

Six global and local QSPR mode ...... d physicochemical descriptors.

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P2093

D E Polianczyk

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J C Dearden

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O A Raevsky

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O E Raevskaja

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V Y Grigorev

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P2860

Random sampling or 'random' model in skin flux measurements? [Commentary on "Investigation of the mechanism of flux across human skin in vitro by quantitative structure permeability relationships"]

A theoretical basis for a biopharmaceutic drug classification: the correlation of in vitro drug product dissolution and in vivo bioavailability

Application of in silico, in vitro and preclinical pharmacokinetic data for the effective and efficient prediction of human pharmacokinetics.

Prediction of drug solubility from structure.

Is experimental data quality the limiting factor in predicting the aqueous solubility of druglike molecules?

Prediction of pH-dependent aqueous solubility of druglike molecules.

Binary classification of aqueous solubility using support vector machines with reduction and recombination feature selection.

Getting physical in drug discovery: a contemporary perspective on solubility and hydrophobicity.

In silico approaches to prediction of aqueous and DMSO solubility of drug-like compounds: trends, problems and solutions.

A novel automated lazy learning QSAR (ALL-QSAR) approach: method development, applications, and virtual screening of chemical databases using validated ALL-QSAR models.

P304

661-676

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scholarly article

P356

10.1080/1062936X.2017.1368704

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P433

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

P478

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P577

2017-09-11T00:00:00Z

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P698

28891683

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