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Comparative Structural Connectivity Spectra Analysis (CoSCoSA) Models of Steroid Binding to the Corticosteroid Binding Globulin
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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[12] Chemical shifts as a tool for structure determination
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Steroid-protein interactions. Human corticosteroid binding globulin: some physicochemical properties and binding specificity
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The Receptor-like Neural Network for Modeling Corticosteroid and Testosterone Binding Globulins
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Parallel Distributed Processing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Combining NMR Spectral Information with Associated Structural Features to form Computationally Nonintensive, Rugged, and Objective Models of Biological Activity
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inferred← citeshttps://doi.org/10.1002/chin.200247212openalex-snapshot
Comparative Structural Connectivity Spectra Analysis (CoSCoSA) Models of Steroid Binding to the Corticosteroid Binding Globulin.
inferred← citeshttps://doi.org/10.1016/b978-0-12-822248-5.00001-2openalex-snapshot
In silico modeling of environmental toxicity of drugs
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Models of Steroid Binding Based on the Minimum Deviation of Structurally Assigned 13C NMR Spectra Analysis (MiDSASA)
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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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Higher-Order and Mixed Discrete Derivatives such as a Novel Graph- Theoretical Invariant for Generating New Molecular Descriptors
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Modeling Chemical Interaction Profiles: I. Spectral Data-Activity Relationship and Structure-Activity Relationship Models for Inhibitors and Non-inhibitors of Cytochrome P450 CYP3A4 and CYP2D6 Isozymes
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