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Prediction of gas chromatographic relative retention times of anabolic steroids
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/jps.2600661134openalex-snapshot
Molecular Connectivity and Retention Indexes
inferredcites →https://doi.org/10.1002/jps.2600680143openalex-snapshot
Molecular Connectivity Analyses of Structure Influencing Chromatographic Retention Indexes
inferredcites →https://doi.org/10.1007/bf02262911openalex-snapshot
Correlation between the retention indices and the connectivity indices of alcohols and methyl esters with complex cyclic structure
inferredcites →https://doi.org/10.1021/ac00134a025openalex-snapshot
Molecular shape and the prediction of high-performance liquid chromatographic retention indexes of polycyclic aromatic hydrocarbons
inferredcites →https://doi.org/10.1021/ac00171a018openalex-snapshot
Prediction of gas chromatographic retention indexes for diverse drug compounds
inferredcites →https://doi.org/10.1021/ac00188a007openalex-snapshot
Computer-assisted prediction of gas chromatographic retention indexes of pyrazines
inferredcites →https://doi.org/10.1021/ac00223a006openalex-snapshot
Quantitative structure-retention relationship studies of odor-active aliphatic compounds with oxygen-containing functional groups
inferredcites →https://doi.org/10.1021/ac00258a033openalex-snapshot
Interactive computer system for the simulation of carbon-13 nuclear magnetic resonance spectra
inferredcites →https://doi.org/10.1021/ac00278a017openalex-snapshot
Relationship between gas chromatographic retention indexes and molecular connectivities of nitrated polycyclic aromatic hydrocarbons
inferredcites →https://doi.org/10.1021/ac00291a008openalex-snapshot
Prediction of gas chromatographic retention indexes of selected olefins
inferredcites →https://doi.org/10.1021/ac60354a042openalex-snapshot
Molecular structure input program using a storage cathode ray tube terminal
inferredcites →https://doi.org/10.1021/ci60006a014openalex-snapshot
ADAPT: A Computer System for Automated Data Analysis Using Pattern Recognition Techniques
inferredcites →https://doi.org/10.1021/ja00299a024openalex-snapshot
Development and use of quantum mechanical molecular models. 76. AM1: a new general purpose quantum mechanical molecular model
inferredcites →https://doi.org/10.1039/jr9580004031openalex-snapshot
812. A simple MO–LCAO method for the calculation of charge distributions in saturated organic molecules
inferredcites →https://doi.org/10.1093/chromsci/17.6.314openalex-snapshot
Connectivity Parameters as Predictors of Retention in Gas Chromatography
inferredcites →https://doi.org/10.1093/chromsci/19.9.457openalex-snapshot
A Relationship Between Reversed-Phase C18 Liquid Chromatographic Retention and the Shape of Polycyclic Aromatic Hydrocarbons
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s11696-017-0257-xopenalex-snapshot
QSRR prediction of gas chromatography retention indices of essential oil components
inferred← citeshttps://doi.org/10.1007/s11746-998-0228-zopenalex-snapshot
Quantitative structure‐liquid chromatographic retention time relationships on natural phenols found in olive oil
inferred← citeshttps://doi.org/10.1016/0021-9673(95)00266-popenalex-snapshot
Prediction of gas chromatographic retention times, column efficiency and resolution as a function of temperature and flow-rate Application for gas chromatographic separation of eight p-hydroxybenzoic esters
inferred← citeshttps://doi.org/10.1016/b978-0-12-385540-4.00019-5openalex-snapshot
Quantitative Structure–Retention Relationships
inferred← citeshttps://doi.org/10.1016/j.aca.2006.09.008openalex-snapshot
Quantitative structure-retention relationships of pesticides in reversed-phase high-performance liquid chromatography
inferred← citeshttps://doi.org/10.1016/j.aca.2007.02.027openalex-snapshot
Prediction of gas chromatography/electron capture detector retention times of chlorinated pesticides, herbicides, and organohalides by multivariate chemometrics methods
inferred← citeshttps://doi.org/10.1016/j.aca.2007.04.058openalex-snapshot
Modelling of retention of pesticides in reversed-phase high-performance liquid chromatography: Quantitative structure-retention relationships based on solute quantum-chemical descriptors and experimental (solvatochromic and spin-probe) mobile phase descriptors
inferred← citeshttps://doi.org/10.1016/j.chroma.2009.09.066openalex-snapshot
Gas chromatographic quantitative structure–retention relationships of trimethylsilylated anabolic androgenic steroids by multiple linear regression and partial least squares
inferred← citeshttps://doi.org/10.1016/j.chroma.2012.07.064openalex-snapshot
Comparison of multiple linear regression, partial least squares and artificial neural networks for prediction of gas chromatographic relative retention times of trimethylsilylated anabolic androgenic steroids
inferred← citeshttps://doi.org/10.1016/s0378-4347(96)00167-3openalex-snapshot
Quantitative structure-retention relationships in doping control
inferred← citeshttps://doi.org/10.1016/s1461-5347(99)00215-1openalex-snapshot
Quantitative structure–property relationships in pharmaceutical research – Part 2
inferred← citeshttps://doi.org/10.1021/ac00053a016openalex-snapshot
Prediction of gas chromatographic retention data for hydrocarbons from naphthas
inferred← citeshttps://doi.org/10.1021/ac00083a005openalex-snapshot
Prediction of Gas Chromatographic Retention Times and Response Factors Using a General Qualitative Structure-Property Relationships Treatment
inferred← citeshttps://doi.org/10.1021/ci000134wopenalex-snapshot
Interpretation of Quantitative Structure−Property and −Activity Relationships
inferred← citeshttps://doi.org/10.1021/ci980161aopenalex-snapshot
A New Efficient Approach for Variable Selection Based on Multiregression: Prediction of Gas Chromatographic Retention Times and Response Factors
inferred← citeshttps://doi.org/10.1021/ci990129wopenalex-snapshot
Comparison of Weighting Schemes for Molecular Graph Descriptors: Application in Quantitative Structure−Retention Relationship Models for Alkylphenols in Gas−Liquid Chromatography
inferred← citeshttps://doi.org/10.1021/ci9903206openalex-snapshot
Structurally Diverse Quantitative Structure−Property Relationship Correlations of Technologically Relevant Physical Properties
inferred← citeshttps://doi.org/10.1021/cr900238dopenalex-snapshot
Quantitative Correlation of Physical and Chemical Properties with Chemical Structure: Utility for Prediction
inferred← citeshttps://doi.org/10.1021/ef040033qopenalex-snapshot
How Chemical Structure Determines Physical, Chemical, and Technological Properties: An Overview Illustrating the Potential of Quantitative Structure−Property Relationships for Fuels Science
inferred← citeshttps://doi.org/10.1080/10629360108035362openalex-snapshot
Quantitative Structure-Retention Relationships for Gas Chromatographic Retention Indices of Alkylbenzenes with Molecular Graph Descriptors
inferred← citeshttps://doi.org/10.1365/s10337-007-0467-4openalex-snapshot
Prediction of GC Retention Times of Complex Petroleum Fractions Based on Quantitative Structure–Retention Relationships
inferred← citeshttps://doi.org/10.1520/jfs13572jopenalex-snapshot
The Determination of Anabolic Steroids by MECC, Gradient HPLC, and Capillary GC
inferred← citeshttps://doi.org/10.2174/1568026023392922openalex-snapshot
The Present Utility and Future Potential for Medicinal Chemistry of QSAR / QSPR with Whole Molecule Descriptors
inferred← citeshttps://doi.org/10.2478/s11532-013-0328-yopenalex-snapshot
Chemometric estimation of the RP TLC retention behaviour of some estrane derivatives by using multivariate regression methods
inferred← citeshttps://doi.org/10.4028/www.scientific.net/amr.236-238.2815openalex-snapshot
QSRR Study on GC Retention Time of Volatile Components from Hawthorn Perfume
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