The importance of hydrophobic properties of organic compounds on their taste intensities: a quantitative structure-taste-intensity study

Michael J. Greenberg

doi:10.1021/jf60229a049

The importance of hydrophobic properties of organic compounds on their taste intensities: a quantitative structure-taste-intensity study

Journal of Agricultural and Food Chemistry ◽

10.1021/jf60229a049 ◽

1980 ◽

Vol 28 (3) ◽

pp. 562-566 ◽

Cited By ~ 6

Author(s):

Michael J. Greenberg

Keyword(s):

Organic Compounds ◽

Taste Intensity ◽

Quantitative Structure ◽

Hydrophobic Properties ◽

Intensity Study

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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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CORAL: Quantitative structure-activity relationship models for estimating toxicity of organic compounds in rats

Journal of Computational Chemistry ◽

10.1002/jcc.21848 ◽

2011 ◽

Vol 32 (12) ◽

pp. 2727-2733 ◽

Cited By ~ 77

Author(s):

A. P. Toropova ◽

A. A. Toropov ◽

E. Benfenati ◽

G. Gini ◽

D. Leszczynska ◽

...

Keyword(s):

Organic Compounds ◽

Quantitative Structure Activity Relationship ◽

Structure Activity Relationship ◽

Activity Relationship ◽

Quantitative Structure ◽

Structure Activity

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Quantitative structure?property relationships for auto-ignition temperatures of organic compounds

Fire and Materials ◽

10.1002/fam.810180204 ◽

1994 ◽

Vol 18 (2) ◽

pp. 81-88 ◽

Cited By ~ 23

Author(s):

Takahiro Suzuki

Keyword(s):

Organic Compounds ◽

Quantitative Structure ◽

Structure Property ◽

Structure Property Relationships ◽

Auto Ignition ◽

Quantitative Structure Property Relationships

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Quantitative structure property relationship schemes for estimation of autoignition temperatures of organic compounds

Journal of Molecular Liquids ◽

10.1016/j.molliq.2019.111797 ◽

2020 ◽

Vol 300 ◽

pp. 111797 ◽

Cited By ~ 3

Author(s):

Amir Dashti ◽

Mojtaba Jokar ◽

Farid Amirkhani ◽

Amir H. Mohammadi

Keyword(s):

Organic Compounds ◽

Quantitative Structure ◽

Structure Property ◽

Quantitative Structure Property Relationship ◽

Property Relationship ◽

Structure Property Relationship

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QSAR modeling for reaction rate constants of eaq− with diverse organic compounds in water

Environmental Science Water Research & Technology ◽

10.1039/d0ew00244e ◽

2020 ◽

Vol 6 (7) ◽

pp. 1931-1938

Author(s):

Shanshan Zheng ◽

Chao Li ◽

Gaoliang Wei

Keyword(s):

Organic Compounds ◽

Reaction Rate ◽

Quantitative Structure Activity Relationship ◽

Structural Features ◽

Quantitative Structure ◽

Qsar Modeling ◽

Reaction Rate Constants ◽

Structure Activity ◽

Qsar Models ◽

The Impact

Two quantitative structure–activity relationship (QSAR) models to predict keaq− of diverse organic compounds were developed and the impact of molecular structural features on eaq− reactivity was investigated.

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ChemInform Abstract: Quantitative Structure-Property Relationships for the Prediction of Vapor Pressures of Organic Compounds from Molecular Structures.

ChemInform ◽

10.1002/chin.200042238 ◽

2000 ◽

Vol 31 (42) ◽

pp. no-no

Author(s):

Heidi Engelhardt McClelland ◽

Peter C. Jurs

Keyword(s):

Organic Compounds ◽

Molecular Structures ◽

Quantitative Structure ◽

Vapor Pressures ◽

Structure Property ◽

Structure Property Relationships ◽

Quantitative Structure Property Relationships

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Quantitative structure–property relationship of distribution coefficients of organic compounds

SAR and QSAR in Environmental Research ◽

10.1080/1062936x.2020.1782468 ◽

2020 ◽

Vol 31 (8) ◽

pp. 585-596

Author(s):

Y. Liu ◽

X. Yu ◽

J. Chen

Keyword(s):

Organic Compounds ◽

Distribution Coefficients ◽

Quantitative Structure ◽

Structure Property ◽

Quantitative Structure Property Relationship ◽

Property Relationship ◽

Structure Property Relationship ◽

Relationship Of

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A Mechanistic Approach to Deriving Quantitative Structure-Activity Relationship Models for Microbial Degradation of Organic Compounds

SAR and QSAR in Environmental Research ◽

10.1080/10629369608031704 ◽

1996 ◽

Vol 5 (1) ◽

pp. 27-36 ◽

Cited By ~ 13

Author(s):

J. Damborský

Keyword(s):

Organic Compounds ◽

Microbial Degradation ◽

Quantitative Structure Activity Relationship ◽

Structure Activity Relationship ◽

Activity Relationship ◽

Quantitative Structure ◽

Structure Activity ◽

Mechanistic Approach

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Quantitative structure–property relationship studies of gas-to-wet butyl acetate partition coefficient of some organic compounds using genetic algorithm and artificial neural network

Structural Chemistry ◽

10.1007/s11224-010-9669-8 ◽

2010 ◽

Vol 21 (6) ◽

pp. 1241-1252 ◽

Cited By ~ 20

Author(s):

Hassan Golmohammadi ◽

Zahra Dashtbozorgi

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Partition Coefficient ◽

Organic Compounds ◽

Butyl Acetate ◽

Quantitative Structure ◽

Structure Property ◽

Quantitative Structure Property Relationship ◽

Structure Property Relationship

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Quantitative Structure-Property Relationship Study for Prediction of Flash Point of Some Organic Compounds Based On SW-MLR Method

Analytical Chemistry Letters ◽

10.1080/22297928.2013.770682 ◽

2013 ◽

Vol 3 (4) ◽

pp. 278-286

Author(s):

Mehdi Rahimi ◽

Mehdi Nekoei

Keyword(s):

Organic Compounds ◽

Flash Point ◽

Quantitative Structure ◽

Structure Property ◽

Quantitative Structure Property Relationship ◽

Property Relationship ◽

Structure Property Relationship ◽

Relationship Study

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