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CODESSA-Based Theoretical QSPR Model for Hydantoin HPLC-RT Lipophilicities
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf02262852openalex-snapshot
The structure of hydantoins in solution and in the solid state
inferredcites →https://doi.org/10.1016/s0021-9673(00)80213-7openalex-snapshot
Determination of hydrophobic parameters by reversed-phase liquid chromatography: theory, experimental techniques, and application in studies on quantitative structure-activity relationships
inferredcites →https://doi.org/10.1016/s0022-2860(97)00286-xopenalex-snapshot
NMR spectroscopic and theoretical structural study of 5-exo-methylene-substituted hydantoins
inferredcites →https://doi.org/10.1016/s0022-2860(98)00506-7openalex-snapshot
NMR spectroscopic and theoretical structural analysis of 5-benzyl substituted hydantoins in solution
inferredcites →https://doi.org/10.1016/s0065-2725(08)60920-4openalex-snapshot
The Chemistry of Hydantoins
inferredcites →https://doi.org/10.1021/ac00083a005openalex-snapshot
Prediction of Gas Chromatographic Retention Times and Response Factors Using a General Qualitative Structure-Property Relationships Treatment
inferredcites →https://doi.org/10.1021/cr950202ropenalex-snapshot
Quantum-Chemical Descriptors in QSAR/QSPR Studies
inferredcites →https://doi.org/10.1021/jo9714831openalex-snapshot
Diastereoselective Synthesis of Cyclopentanoids with Hydantoin and Isoxazoline Substituents
inferredcites →https://doi.org/10.1023/a:1022091411018openalex-snapshot
The Influence of Structure and Lipophilicity of Hydantoin Derivatives on Anticonvulsant Activity
inferredcites →https://doi.org/10.1039/cs9952400279openalex-snapshot
QSPR: the correlation and quantitative prediction of chemical and physical properties from structure
inferredcites →https://doi.org/10.1126/science.6879170openalex-snapshot
Solvent-Accessible Surfaces of Proteins and Nucleic Acids
inferredcites →https://doi.org/10.1135/cccc19991551openalex-snapshot
QSPR and QSAR Models Derived Using Large Molecular Descriptor Spaces. A Review of CODESSA Applications
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