QSRR Prediction of the Chromatographic Retention Behavior of Painkiller Drugs (original) (raw)
QSRR Prediction of Chromatographic Retention of Ethynyl-Substituted PAH from Semiempirically Computed Solute Descriptors
Jahan B Ghasemi
Analytical Chemistry, 2000
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Investigation of retention behaviour of non-steroidal anti-inflammatory drugs in high-performance liquid chromatography by using quantitative structure–retention relationships
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Performance comparison of partial least squares-related variable selection methods for quantitative structure retention relationships modelling of retention times in reversed-phase liquid chromatography
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A QSPR model for the prediction of the partition coefficient of organic compounds of pharmaceutical interest
tam luong
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Theoretical Models and QSRR in Retention Modeling of Eight Aminopyridines
Slavica Eric
Journal of Chromatographic Science, 2015
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Quantitative structure–property relationship study of n-octanol–water partition coefficients of some of diverse drugs using multiple linear regression
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Prediction of Gas Chromatographic Retention Times and Response Factors Using a General Qualitative Structure-Property Relationships Treatment
Victor Lobanov, Mati Karelson
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A performance comparison of modern statistical techniques for molecular descriptor selection and retention prediction in chromatographic QSRR studies
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Quantitative structure chromatography relationships in reversed-phase high performance liquid chromatography: Prediction of retention behaviour using theoretically derived molecular properties
Jeremy Nicholson
1993
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Quantitative structure-retention relationship for the Kovats retention indices of a large set of terpenes: A combined data splitting-feature selection strategy
Bahram Hemmateenejad
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Qualitative Organic Analysis. Part 2. Identification of Drugs by Principal Components Analysis of Standardized TLC Data in Four Eluent Systems and of Retention Indices on SE 30
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Brenda Ellsworth
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Chromatographic Retention Modeling of Alkylazoles by QSRR Approach
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CHEMICAL & PHARMACEUTICAL BULLETIN, 2007
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Prediction of Biopharmaceutical Drug Disposition Classification System (BDDCS) by Structural Parameters
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Classification and regression tree analysis for molecular descriptor selection and retention prediction in chromatographic quantitative structure–retention relationship studies
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