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13C NMR Quantitative Spectrometric Data-Activity Relationship (QSDAR) Models of Steroids Binding the Aromatase Enzyme
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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/qsar.19880070105openalex-snapshot
Crossvalidation, Bootstrapping, and Partial Least Squares Compared with Multiple Regression in Conventional QSAR Studies
inferredcites →https://doi.org/10.1002/qsar.19920110208openalex-snapshot
MULTICASE 1. A Hierarchical Computer Automated Structure Evaluation Program
inferredcites →https://doi.org/10.1006/taap.2000.9043openalex-snapshot
13C NMR and Electron Ionization Mass Spectrometric Data-Activity Relationship Model of Estrogen Receptor Binding
inferredcites →https://doi.org/10.1007/bf00134175openalex-snapshot
E-state fields: Applications to 3D QSAR
inferredcites →https://doi.org/10.1007/bf00355042openalex-snapshot
Three-dimensional quantitative structure-activity relationships of steroid aromatase inhibitors
inferredcites →https://doi.org/10.1007/bf00682736openalex-snapshot
Aromatase and its inhibitors in breast cancer treatment ? overview and perspective
inferredcites →https://doi.org/10.1016/0006-291x(91)91997-qopenalex-snapshot
6α,7 ga-Cyclopropane derivatives of androst-4-ene: A novel class of competitive aromatase inhibitors
inferredcites →https://doi.org/10.1016/0960-0760(94)90269-0openalex-snapshot
Aromatase inhibitors in the treatment of breast cancer
inferredcites →https://doi.org/10.1016/s0003-2670(01)83100-7openalex-snapshot
Hose — a novel substructure code
inferredcites →https://doi.org/10.1016/s0006-291x(89)80102-0openalex-snapshot
19-hydroxy-4-androsten-17-one: Potential competitive inhibitor of estrogen biosynthesis
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/ci000331vopenalex-snapshot
Producing 13C NMR, Infrared Absorption, and Electron Ionization Mass Spectrometric Data Models of the Monodechlorination of Chlorobenzenes, Chlorophenols, and Chloroanilines
inferredcites →https://doi.org/10.1021/ci990038zopenalex-snapshot
Comparative Spectra Analysis (CoSA): Spectra as Three-Dimensional Molecular Descriptors for the Prediction of Biological Activities
inferredcites →https://doi.org/10.1021/ja00226a005openalex-snapshot
Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins
inferredcites →https://doi.org/10.1021/ja00336a004openalex-snapshot
Artificial intelligence approach to structure-activity studies. Computer automated structure evaluation of biological activity of organic molecules
inferredcites →https://doi.org/10.1021/ja00336a005openalex-snapshot
Orbital interactions in some polycycloalkyl halides: a photoelectron spectroscopic study
inferredcites →https://doi.org/10.1021/ja01077a029openalex-snapshot
A Correlation of Chemical Shifts with Inductive Effect Parameters
inferredcites →https://doi.org/10.1021/jm00112a028openalex-snapshot
Synthesis and biochemical studies of 16- or 19-substituted androst-4-enes as aromatase inhibitors
inferredcites →https://doi.org/10.1021/jm00112a029openalex-snapshot
Syntheses of tolrestat analogs containing additional substituents in the ring and their evaluation as aldose reductase inhibitors. Identification of potent, orally active 2-fluoro derivatives
inferredcites →https://doi.org/10.1021/jp953224qopenalex-snapshot
Correlation of Boiling Points with Molecular Structure. 1. A Training Set of 298 Diverse Organics and a Test Set of 9 Simple Inorganics
inferredcites →https://doi.org/10.1023/a:1008048822117openalex-snapshot
QSAR modeling with the electrotopological state indices: Corticosteroids
inferredcites →https://doi.org/10.1210/endo.138.9.5487openalex-snapshot
QSAR Models for Binding of Estrogenic Compounds to Estrogen Receptor α and β Subtypes
inferredcites →https://doi.org/10.7551/mitpress/5236.001.0001openalex-snapshot
Parallel Distributed Processing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9780470571224.pse007openalex-snapshot
Combining NMR Spectral Information with Associated Structural Features to form Computationally Nonintensive, Rugged, and Objective Models of Biological Activity
inferred← citeshttps://doi.org/10.1002/ardp.201000029openalex-snapshot
NMR QSAR Model for the Analysis of 4‐(5‐Arylamino‐1,3,4‐thiadiazol‐2‐yl)benzene‐1,3‐diols
inferred← citeshttps://doi.org/10.1002/chin.200148238openalex-snapshot
ChemInform Abstract: 13C NMR Quantitative Spectrometric Data—Activity Relationship (QSDAR) Models of Steroids Binding the Aromatase Enzyme.
inferred← citeshttps://doi.org/10.1002/etc.5620220306openalex-snapshot
THE USE OF CARBON THIRTEEN NUCLEAR MAGNETIC RESONANCE SPECTRA TO PREDICT DIOXIN AND FURAN BINDING AFFINITIES TO THE ARYL HYDROCARBON RECEPTOR
inferred← citeshttps://doi.org/10.1002/jmr.570openalex-snapshot
Comparative structural connectivity spectra analysis (CoSCoSA) models of steroids binding to the aromatase enzyme
inferred← citeshttps://doi.org/10.1002/jps.21222openalex-snapshot
Topical Corticosteroids, Structure-Activity and the Glucocorticoid Receptor: Discovery and Development—A Process of ‘‘Planned Serendipity’’
inferred← citeshttps://doi.org/10.1002/minf.201300172openalex-snapshot
Global Model for Octanol‐Water Partition Coefficients from Proton Nuclear Magnetic Resonance Spectra
inferred← citeshttps://doi.org/10.1007/978-1-61779-965-5_10openalex-snapshot
Advances in Nuclear Magnetic Resonance for Drug Discovery
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inferred← citeshttps://doi.org/10.1016/j.bmc.2007.12.055openalex-snapshot
A genetic algorithm optimized fuzzy neural network analysis of the affinity of inhibitors for HIV-1 protease
inferred← citeshttps://doi.org/10.1016/j.drudis.2006.03.014openalex-snapshot
Computational modeling of biologically active molecules using NMR spectra
inferred← citeshttps://doi.org/10.1016/j.jpba.2003.12.024openalex-snapshot
Prediction of anti-plasmodial activity of Artemisia annua extracts: application of NMR spectroscopy and chemometrics
inferred← citeshttps://doi.org/10.1021/ci0202842openalex-snapshot
Molecular Quantum Similarity-Based QSARs for Binding Affinities of Several Steroid Sets
inferred← citeshttps://doi.org/10.1021/ci3001698openalex-snapshot
13C NMR–Distance Matrix Descriptors: Optimal Abstract 3D Space Granularity for Predicting Estrogen Binding
inferred← citeshttps://doi.org/10.1021/cr100125dopenalex-snapshot
Use of13C NMR Chemical Shift as QSAR/QSPR Descriptor
inferred← citeshttps://doi.org/10.1021/cr300314qopenalex-snapshot
Integrated Approach to Structure-Based Enzymatic Drug Design: Molecular Modeling, Spectroscopy, and Experimental Bioactivity
inferred← citeshttps://doi.org/10.1023/a:1022479510524openalex-snapshot
Combining NMR spectral and structural data to form models of polychlorinated dibenzodioxins, dibenzofurans, and biphenyls binding to the AhR
inferred← citeshttps://doi.org/10.1023/b:modi.0000006536.02970.f0openalex-snapshot
Comparative molecular surface analysis: A novel tool for drug design and molecular diversity studies
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Predicting skin permeation rate from nuclear magnetic resonance spectra
inferred← citeshttps://doi.org/10.1080/10590501.2018.1537132openalex-snapshot
Computational prediction models for assessing endocrine disrupting potential of chemicals
inferred← citeshttps://doi.org/10.1289/ehp.1510267openalex-snapshot
CERAPP: Collaborative Estrogen Receptor Activity Prediction Project
inferred← citeshttps://doi.org/10.1385/1-59259-964-8:227openalex-snapshot
Nuclear Magnetic Resonance-Based Screening Methods for Drug Discovery
inferred← citeshttps://doi.org/10.17179/excli2018-1417openalex-snapshot
Towards understanding aromatase inhibitory activity via QSAR modeling
inferred← citeshttps://doi.org/10.3797/scipharm.0804-12openalex-snapshot
Chemical Structure Indices in In Silico Molecular Design
inferred← citeshttps://doi.org/10.4018/978-1-4666-8136-1.ch011openalex-snapshot
Ligand- and Structure-Based Drug Design of Non-Steroidal Aromatase Inhibitors (NSAIs) in Breast Cancer
inferred← citeshttps://doi.org/10.4018/978-1-5225-0549-5.ch004openalex-snapshot
Ligand- and Structure-Based Drug Design of Non-Steroidal Aromatase Inhibitors (NSAIs) in Breast Cancer
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