Effects of different buffer species on partition coefficients of drugs used in quantitative structure–activity relationships

Pou-Hsiung Wang; Eric J. Lien

doi:10.1002/jps.2600690614

Effects of different buffer species on partition coefficients of drugs used in quantitative structure–activity relationships

Journal of Pharmaceutical Sciences ◽

10.1002/jps.2600690614 ◽

1980 ◽

Vol 69 (6) ◽

pp. 662-668 ◽

Cited By ~ 52

Author(s):

Pou-Hsiung Wang ◽

Eric J. Lien

Keyword(s):

Partition Coefficients ◽

Quantitative Structure ◽

Structure Activity Relationships ◽

Structure Activity ◽

Quantitative Structure Activity Relationships

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Utilization of micro-HPLC for the direct measurement of the partition coefficients needed in studying the quantitative structure — activity relationships

Chromatographia ◽

10.1007/bf02261893 ◽

1982 ◽

Vol 15 (11) ◽

pp. 723-725 ◽

Cited By ~ 9

Author(s):

K. Jinno

Keyword(s):

Direct Measurement ◽

Partition Coefficients ◽

Quantitative Structure ◽

Structure Activity Relationships ◽

Structure Activity ◽

Quantitative Structure Activity Relationships ◽

Micro Hplc

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Quantitative Structure-Activity Relationships Using Hydrophobicity Constants Measured by High-Pressure Liquid Chromatography: A Comparison with Octanol-Water Partition Coefficients

Journal of Liquid Chromatography ◽

10.1080/01483918708066814 ◽

1987 ◽

Vol 10 (12) ◽

pp. 2565-2589 ◽

Cited By ~ 24

Author(s):

D. J. Minick ◽

J. J. Sabatka ◽

D. A. Brent

Keyword(s):

High Pressure ◽

Liquid Chromatography ◽

High Pressure Liquid Chromatography ◽

Partition Coefficients ◽

Quantitative Structure ◽

Structure Activity Relationships ◽

Structure Activity ◽

Quantitative Structure Activity Relationships

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Transport in Quantitative Structure-activity Relationships VI: Relationship Between Transport Rate Constants and Partition Coefficients

Journal of Pharmaceutical Sciences ◽

10.1002/jps.2600700930 ◽

1981 ◽

Vol 70 (9) ◽

pp. 1081-1082 ◽

Cited By ~ 26

Author(s):

Han Van De Waterbeemd ◽

Paul Van Bakel ◽

Adri Jansen

Keyword(s):

Rate Constants ◽

Partition Coefficients ◽

Transport Rate ◽

Quantitative Structure ◽

Structure Activity Relationships ◽

Structure Activity ◽

Quantitative Structure Activity Relationships

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Atomic Physicochemical Parameters for Three-Dimensional Structure-Directed Quantitative Structure-Activity Relationships I. Partition Coefficients as a Measure of Hydrophobicity

Journal of Computational Chemistry ◽

10.1002/jcc.540070419 ◽

1986 ◽

Vol 7 (4) ◽

pp. 565-577 ◽

Cited By ~ 446

Author(s):

Arup K. Ghose ◽

Gordon M. Crippen

Keyword(s):

Physicochemical Parameters ◽

Partition Coefficients ◽

Three Dimensional ◽

Dimensional Structure ◽

Quantitative Structure ◽

Three Dimensional Structure ◽

Structure Activity Relationships ◽

Structure Activity ◽

Quantitative Structure Activity Relationships

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Quantitative Structure-Activity Relationships of Potential Antimalarial Drugs Active Against Chloroquine-Resistant Plasmodium Falciparum

Planta Medica ◽

10.1055/s-2008-1075144 ◽

2008 ◽

Vol 74 (03) ◽

Author(s):

SJ Hocart ◽

H Liu ◽

D De ◽

FM Krogstad ◽

DJ Krogstad

Keyword(s):

Plasmodium Falciparum ◽

Antimalarial Drugs ◽

Quantitative Structure ◽

Structure Activity Relationships ◽

Structure Activity ◽

Quantitative Structure Activity Relationships

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Parabolic Quantitative Structure–Activity Relationships and Photodynamic Therapy: Application of a Three-Compartment Model with Clearance to the In Vivo Quantitative Structure–Activity Relationships of a Congeneric Series of Pyropheophorbide Derivatives Used as Photosensitizers for Photodynamic Therapy

Photochemistry and Photobiology ◽

10.1562/0031-8655(1999)070<0781:pqsrap>2.3.co;2 ◽

1999 ◽

Vol 70 (5) ◽

pp. 781 ◽

Cited By ~ 2

Author(s):

W. R. Potter ◽

B. W. Henderson ◽

D. A. Bellnier ◽

R. K. Pandey ◽

L. A. Vaughan ◽

...

Keyword(s):

Photodynamic Therapy ◽

Compartment Model ◽

Quantitative Structure ◽

Structure Activity Relationships ◽

Structure Activity ◽

Three Compartment Model ◽

Quantitative Structure Activity Relationships

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Binding Affinity of Triphenyl Acrylonitriles to Estrogen Receptors: Quantitative Structure-Activity Relationships

Folia Medica ◽

10.2478/v10153-010-0005-2 ◽

2010 ◽

Vol 52 (3) ◽

Cited By ~ 1

Author(s):

Sorana Bolboacă ◽

Monica Marta ◽

Lorentz Jäntschi

Keyword(s):

Estrogen Receptors ◽

Binding Affinity ◽

Quantitative Structure ◽

Structure Activity Relationships ◽

Structure Activity ◽

Quantitative Structure Activity Relationships

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Quantitative Structure-Activity Relationships for Cellular Uptake of Surface-Modified Nanoparticles

Combinatorial Chemistry & High Throughput Screening ◽

10.2174/1386207318666150306105525 ◽

2015 ◽

Vol 18 (4) ◽

pp. 365-375 ◽

Cited By ~ 6

Author(s):

Rong Liu ◽

Robert Rallo ◽

Muhammad Bilal ◽

Yoram Cohen

Keyword(s):

Cellular Uptake ◽

Quantitative Structure ◽

Structure Activity Relationships ◽

Structure Activity ◽

Quantitative Structure Activity Relationships ◽

Surface Modified ◽

Surface Modified Nanoparticles

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Investigation of the Structural Requirement for Blocking the Human CCR5 Chemokine Receptor. An Insight from Quantitative Structure Activity Relationships Study

Letters in Drug Design & Discovery ◽

10.2174/157018009787582615 ◽

2009 ◽

Vol 6 (2) ◽

pp. 114-124 ◽

Cited By ~ 1

Author(s):

Nigus Dessalew

Keyword(s):

Chemokine Receptor ◽

Quantitative Structure ◽

Structural Requirement ◽

Ccr5 Chemokine Receptor ◽

Structure Activity Relationships ◽

Structure Activity ◽

Quantitative Structure Activity Relationships ◽

Human Ccr5

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Quantitative structure activity relationships (QSARs) and machine learning models for abiotic reduction of organic compounds by an aqueous Fe(II) complex

Water Research ◽

10.1016/j.watres.2021.116843 ◽

2021 ◽

Vol 192 ◽

pp. 116843

Author(s):

Yidan Gao ◽

Shifa Zhong ◽

Tifany L. Torralba-Sanchez ◽

Paul G. Tratnyek ◽

Eric J. Weber ◽

...

Keyword(s):

Machine Learning ◽

Organic Compounds ◽

Quantitative Structure ◽

Learning Models ◽

Structure Activity Relationships ◽

Structure Activity ◽

Quantitative Structure Activity Relationships ◽

Abiotic Reduction ◽

Machine Learning Models

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