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E-State Modeling of Corticosteroids Binding AffinityValidation of Model for Small Data Set

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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/etc.5620180535openalex-snapshot
MODELING THE TOXICITY OF AMIDE HERBICIDES USING THE ELECTROTOPOLOGICAL STATE
inferredcites →https://doi.org/10.1007/bf00134175openalex-snapshot
E-state fields: Applications to 3D QSAR
inferredcites →https://doi.org/10.1021/bi00524a047openalex-snapshot
Steroid-protein interactions. Human corticosteroid binding globulin: some physicochemical properties and binding specificity
inferredcites →https://doi.org/10.1021/ci960105eopenalex-snapshot
The Receptor-like Neural Network for Modeling Corticosteroid and Testosterone Binding Globulins
inferredcites →https://doi.org/10.1021/ci980130fopenalex-snapshot
Modeling Antileukemic Activity of Carboquinones with Electrotopological State and Chi Indices
inferredcites →https://doi.org/10.1021/ja00134a023openalex-snapshot
Autocorrelation of Molecular Surface Properties for Modeling Corticosteroid Binding Globulin and Cytosolic Ah Receptor Activity by Neural Networks
inferredcites →https://doi.org/10.1021/jm00222a020openalex-snapshot
Quantitative structure-activity relationships in centrally acting imidazolidines structurally related to clonidine
inferredcites →https://doi.org/10.1023/a:1008048822117openalex-snapshot
QSAR modeling with the electrotopological state indices: Corticosteroids
inferredcites →https://doi.org/10.1056/nejm199910143411604openalex-snapshot
Antenatal Glucocorticoid Treatment and Cystic Periventricular Leukomalacia in Very Premature Infants
inferredcites →https://doi.org/10.1136/bmj.319.7223.1480openalex-snapshot
Regular review: Management of Crohn's disease
inferredcites →https://doi.org/10.1136/bmj.319.7223.1480aopenalex-snapshot
Endpiece: Dangers for surgeons
inferredcites →https://doi.org/10.1136/bmj.320.7234.555openalex-snapshot
Regular review: Management of chronic uveitis
inferredcites →https://doi.org/10.1201/9781482296945openalex-snapshot
Topological Indices and Related Descriptors in QSAR and QSPR
inferredcites →https://doi.org/10.14219/jada.archive.2000.0180openalex-snapshot
THE BODY'S SKIN FRONTIER AND THE CHALLENGES OF WOUND HEALING: KELOIDS

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Anti‐Inflammatory Steroids
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Anti‐Inflammatory Glucocorticoids
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Anti‐Inflammatory Glucocorticoids
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Soft Drugs
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Bibliography
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A Structure‐Information Approach to the Prediction of Biological Activities and Properties
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No Title
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ChemInform Abstract: E‐State Modeling of Corticosteroids Binding Affinity Validation of Model for Small Data Set.
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Novel distance-based atom-type topological indices DAI for QSPR/QSAR studies of alcohols
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3D-chiral (2.5) atom-based TOMOCOMD-CARDD descriptors: theory and QSAR applications to central chirality codification
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Electrotopological State Indices to Assess Molecular and Absorption, Distribution, Metabolism, Excretion, and Toxicity Properties
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Topological Quantitative Structure–Activity Relationship Applications: Structure Information Representation in Drug Discovery
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Atom-based 3D-chiral quadratic indices. Part 2: Prediction of the corticosteroid-binding globulinbinding affinity of the 31 benchmark steroids data set
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Three dimensional holographic vector of atomic interaction field (3D-HoVAIF)
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A molecular structure based model for predicting optimal salinity of anionic surfactants
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Atom-based stochastic and non-stochastic 3D-chiral bilinear indices and their applications to central chirality codification
inferred← citeshttps://doi.org/10.1016/j.steroids.2007.10.001openalex-snapshot
Glucocorticoid receptor binding: A biphasic dependence on molecular size as revealed by the bilinear LinBiExp model
inferred← citeshttps://doi.org/10.1016/s0166-1280(03)00386-5openalex-snapshot
Molecular graph center, a novel approach to locate the center of a molecule and a new centric index
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Atom-type-based AI topological descriptors for quantitative structure–retention index correlations of aldehydes and ketones
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Molecular Quantum Similarity-Based QSARs for Binding Affinities of Several Steroid Sets
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Prediction of HPLC Retention Index Using Artificial Neural Networks and IGroup E-State Indices
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Zeta Potential for Metal Oxide Nanoparticles: A Predictive Model Developed by a Nano-Quantitative Structure–Property Relationship Approach
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Quantitative Structure−Activity (Affinity) Relationship (QSAR) Study on Protonation and Cationization of α-Amino Acids
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Quantitative structure–activity relationships from optimised ab initio bond lengths: steroid binding affinity and antibacterial activity of nitrofuran derivatives
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Comparison of electrotopological-state indices versus atomic charge and superdelocalisability indices in a QSAR study of the receptor binding properties of halogenated estradiol derivatives
inferred← citeshttps://doi.org/10.1080/1062936031000073144openalex-snapshot
E-State Modeling of Fish Toxicity Independent of 3D Structure Information
inferred← citeshttps://doi.org/10.1080/10629360412331319853openalex-snapshot
QSAR Modeling Based on Structure-Information for Properties of Interest in Human Health
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QuBiLS-MAS, open source multi-platform software for atom- and bond-based topological (2D) and chiral (2.5D) algebraic molecular descriptors computations
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Whole Molecule and Atom-Based Topological Descriptors
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Modeling Gas Chromatographic Retention Indices of Oxygen-containing Compounds by Novel Atom-type Topological Indices
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How to Generate Reliable and Predictive CoMFA Models
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Higher-Order and Mixed Discrete Derivatives such as a Novel Graph- Theoretical Invariant for Generating New Molecular Descriptors
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Topological, hydrophobicity, and other descriptors on α-glucosidase inhibition: a QSAR study on xanthone derivatives
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BCL::EMAS — Enantioselective Molecular Asymmetry Descriptor for 3D-QSAR
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