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Combined MEDV-GA-MLR Method for QSAR of Three Panels of Steroids, Dipeptides, and COX-2 Inhibitors
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Genetic algorithms as a strategy for feature selection
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Predictive ability of regression models. Part II: Selection of the best predictive PLS model
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On Identifying Likely Determinants of Biological Activity in High Dimensional QSAR Problems
inferredcites →https://doi.org/10.1002/qsar.19940130403openalex-snapshot
Variable Selection in QSAR Studies. II. A Highly Efficient Combination of Systematic Search and Evolution
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GA strategy for variable selection in QSAR studies: GAPLS and D-optimal designs for predictive QSAR model
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Genetic algorithm applied to the selection of principal components
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MS-WHIM Scores for Amino Acids: A New 3D-Description for Peptide QSAR and QSPR Studies
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Development and Validation of a Novel Variable Selection Technique with Application to Multidimensional Quantitative Structure−Activity Relationship Studies
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Structurally Diverse Quantitative Structure−Property Relationship Correlations of Technologically Relevant Physical Properties
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Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins
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QSAR modeling with the electrotopological state indices: Corticosteroids
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Application of the Electrotopological State Index to QSAR Analysis of Flavone Derivatives as HIV-1 Integrase Inhibitors
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Biochemically based design of cyclooxygenase-2 (COX-2) inhibitors: Facile conversion of nonsteroidal antiinflammatory drugs to potent and highly selective COX-2 inhibitors
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Genetic algorithms in search, optimization, and machine learning
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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ChemInform Abstract: Combined MEDV‐GA‐MLR Method for QSAR of Three Panels of Steroids, Dipeptides, and COX‐2 Inhibitors.
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New Modes for the Prediction of Gas Chromatographic Relative Retention Times of Polybrominated Diphenyl Ethers
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Studying Peptides Biological Activities Based on Multidimensional Descriptors (E) Using Support Vector Regression
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QSPR model for bioconcentration factors of nonpolar organic compounds using molecular electronegativity distance vector descriptors
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Predicting bioconcentration factor values of organic pollutants based on MEDV descriptors derived QSARs
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Quantitative structure-activity relationship of estrogen activities of bisphenol A analogs
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A novel comparative molecule/pseudo receptor interaction analysis
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Designing of phenol-based β−carbonic anhydrase1 inhibitors through QSAR, molecular docking, and MD simulation approach
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Quantitative structure–retention relationship for the Kovats retention indices of a large set of terpenes: A combined data splitting-feature selection strategy
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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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inferred← citeshttps://doi.org/10.1016/j.chemolab.2010.04.007openalex-snapshot
Three-dimensional vector of pharmacophore atomic interaction and its applications to stereoisomeric description
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2007.08.009openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jhazmat.2008.03.089openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jmgm.2006.09.007openalex-snapshot
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In silico identification of anthropogenic chemicals as ligands of zebrafish sex hormone binding globulin
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Estimation and prediction on retention times of components from essential oil of Paulownia tomentosa flowers by molecular electronegativity-distance vector (MEDV)
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Modulation of the skeletal muscle Ca2+ release channel/ryanodine receptor by adenosine and its metabolites: a structure–activity approach
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Progressive Docking: A Hybrid QSAR/Docking Approach for Accelerating In Silico High Throughput Screening
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An Updated Steroid Benchmark Set and Its Application in the Discovery of Novel Nanomolar Ligands of Sex Hormone-Binding Globulin
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QSAR Study on the anti-tumor activity of levofloxacin-thiadiazole HDACi conjugates
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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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Overview and Recent Advances in QSAR Studies
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Overview and Recent Advances in QSAR Studies
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Computational ligand discovery for the human and zebrafish sex hormone binding globulin
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Descriptors for antimicrobial peptides
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QSAR ANALYSIS OF THE ECDYSTEROIDS’ AFFINITY BASED ON 2.5D-SIMPLEX REPRESENTATION OF THE MOLECULAR STRUCTURE
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BCL::EMAS — Enantioselective Molecular Asymmetry Descriptor for 3D-QSAR
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Quantitative Structure–Toxicity Relationship in Bioactive Molecules from a Conceptual DFT Perspective
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