Quantitative Structure-Activity Relationships · 1992 · 22 citations · 19 references
Drug TargetSystem PharmacologyDrug ClassPharmacodynamic ModelingSystems PharmacologyMolecular PharmacologyMedicinal ChemistryTlser MethodologyQuantitative Structure‐activity RelationshipsComputational BiochemistryBiochemistryMedicineOpiate Receptor ActivityTheoretical DescriptorsPharmacologyMolecular ModelingTlser CorrelationsStructural FeaturesNatural SciencesMolecular PropertyMolecular DockingQuantitative Structure-activity RelationshipDrug DiscoveryQuantitative Pharmacology
Abstract The number of applications of computational techniques to medicinal chemistry is growing rapidly. Quantitative Structure‐Activity Relationships (QSAR) have been used very successfully to correlate structural features to biological activities. A type of QSAR, Linear Solvation Energy Relationships (LSER) has been used to correlate a large number and wide variety of biological properties. Famini and Wilson have developed a theoretical extension of the LSER, called the TLSER, that incorporates only computationally derived descriptors. We have applied the TLSER methodology to a series of fentanyl‐like compounds that exhibit activity at the opiate receptor. TLSER correlations of the entire data set, as well as specific subsets are considered.
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Characterization of molecular branching
Milan Randić · Journal of the American Chemical Society · 1975 · 3.5K citations
Mortimer J. Kamlet, J.‐L. M. Abboud, Michael H. Abraham et al. · The Journal of Organic Chemistry · 1983 · 3.5K citations
Engineering, Chemical Analysis, Altmetric Attention Score +19