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Structure/Response Correlations and Similarity/Diversity Analysis by GETAWAY Descriptors. 1. Theory of the Novel 3D Molecular Descriptors

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Outgoing claims: the papers this work cites, builds on, or argues with.

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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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Quantitative structure–activity relationships study of tyrosinase inhibitors using logistic regression and artificial neural networks
inferred← citeshttps://doi.org/10.1007/s13738-013-0265-xopenalex-snapshot
Linear and nonlinear quantitative structure–property relationships modeling of charge–transfer complex formation of organic donors with iodine and iodine monochloride using partial least squares and radial basis function–partial least squares
inferred← citeshttps://doi.org/10.1007/s13738-020-02133-4openalex-snapshot
Synthesis and crystal structure of phosphonic acid and bisphosphoramidate derivatives: QSAR studies of their anti-fungal potential on Macrophomina Phaseolina (Tassi) Goid
inferred← citeshttps://doi.org/10.1016/b978-0-12-409547-2.12345-5openalex-snapshot
Chemical Data Formats, Fingerprints, and Other Molecular Descriptions for Database Analysis and Searching
inferred← citeshttps://doi.org/10.1016/b978-0-12-409547-2.14703-1openalex-snapshot
Chemometrics for QSAR Modeling
inferred← citeshttps://doi.org/10.1016/b978-044452701-1.00007-7openalex-snapshot
Chemometrics in QSAR
inferred← citeshttps://doi.org/10.1016/c2014-1-02188-6openalex-snapshot
Comprehensive Medicinal Chemistry III
inferred← citeshttps://doi.org/10.1016/j.aca.2005.06.069openalex-snapshot
Exploring and modelling the responses of electrospray and atmospheric pressure chemical ionization techniques based on molecular descriptors
inferred← citeshttps://doi.org/10.1016/j.aca.2007.08.026openalex-snapshot
Investigation of retention behaviour of non-steroidal anti-inflammatory drugs in high-performance liquid chromatography by using quantitative structure–retention relationships
inferred← citeshttps://doi.org/10.1016/j.aca.2008.04.065openalex-snapshot
Prediction of air-to-blood partition coefficients of volatile organic compounds using genetic algorithm and artificial neural network
inferred← citeshttps://doi.org/10.1016/j.aca.2008.09.018openalex-snapshot
Quantitative structure–retention relationships of pesticides in reversed-phase high-performance liquid chromatography based on WHIM and GETAWAY molecular descriptors
inferred← citeshttps://doi.org/10.1016/j.aca.2009.07.048openalex-snapshot
Adsorption of s-triazines onto polybenzimidazole: A quantitative structure–property relationship investigation
inferred← citeshttps://doi.org/10.1016/j.addr.2015.03.014openalex-snapshot
Recent progresses in the exploration of machine learning methods as in-silico ADME prediction tools
inferred← citeshttps://doi.org/10.1016/j.arabjc.2011.03.006openalex-snapshot
A quantitative structure–activity relationship study on HIV-1 integrase inhibitors using genetic algorithm, artificial neural networks and different statistical methods
inferred← citeshttps://doi.org/10.1016/j.arabjc.2013.05.009openalex-snapshot
Quantitative structure activity relationship study of p38α MAP kinase inhibitors
inferred← citeshttps://doi.org/10.1016/j.atmosenv.2004.07.026openalex-snapshot
A tool for the assessment of VOC degradability by tropospheric oxidants starting from chemical structure
inferred← citeshttps://doi.org/10.1016/j.atmosenv.2010.05.021openalex-snapshot
Prediction of the adsorption capability onto activated carbon of a large data set of chemicals by local lazy regression method
inferred← citeshttps://doi.org/10.1016/j.biomaterials.2013.07.011openalex-snapshot
In silico design of anti-atherogenic biomaterials
inferred← citeshttps://doi.org/10.1016/j.bioorg.2020.103705openalex-snapshot
Development of a classification model for the antigenotoxic activity of flavonoids
inferred← citeshttps://doi.org/10.1016/j.bmc.2005.02.038openalex-snapshot
Quantitative structure–activity relationship to predict differential inhibition of aldose reductase by flavonoid compounds
inferred← citeshttps://doi.org/10.1016/j.bmc.2005.09.058openalex-snapshot
Affinity prediction on A1 adenosine receptor agonists: The chemometric approach
inferred← citeshttps://doi.org/10.1016/j.bmc.2005.11.024openalex-snapshot
Atom-based 3D-chiral quadratic indices. Part 2: Prediction of the corticosteroid-binding globulinbinding affinity of the 31 benchmark steroids data set
inferred← citeshttps://doi.org/10.1016/j.bmc.2005.12.048openalex-snapshot
2D Autocorrelation modeling of the negative inotropic activity of calcium entry blockers using Bayesian-regularized genetic neural networks
inferred← citeshttps://doi.org/10.1016/j.bmc.2006.06.016openalex-snapshot
Predicting antitrichomonal activity: A computational screening using atom-based bilinear indices and experimental proofs
inferred← citeshttps://doi.org/10.1016/j.bmc.2006.10.067openalex-snapshot
TOMOCOMD-CARDD descriptors-based virtual screening of tyrosinase inhibitors: Evaluation of different classification model combinations using bond-based linear indices
inferred← citeshttps://doi.org/10.1016/j.bmc.2007.02.005openalex-snapshot
Quantitative structure–activity relationship of sesquiterpene lactones with cytotoxic activity
inferred← citeshttps://doi.org/10.1016/j.bmc.2007.02.013openalex-snapshot
Computational neural network analysis of the affinity of lobeline and tetrabenazine analogs for the vesicular monoamine transporter-2
inferred← citeshttps://doi.org/10.1016/j.bmc.2007.02.023openalex-snapshot
Novel 1-oxyl-2-substitutedphenyl-4,4,5,5-tetramethylimidazolines: Synthesis, selectively analgesic action, and QSAR analysis
inferred← citeshttps://doi.org/10.1016/j.bmc.2007.03.065openalex-snapshot
Adaptive neuro-fuzzy inference system (ANFIS): A new approach to predictive modeling in QSAR applications: A study of neuro-fuzzy modeling of PCP-based NMDA receptor antagonists
inferred← citeshttps://doi.org/10.1016/j.bmc.2007.05.034openalex-snapshot
Computational modeling tools for the design of potent antimalarial bisbenzamidines: Overcoming the antimalarial potential of pentamidine
inferred← citeshttps://doi.org/10.1016/j.bmc.2007.06.009openalex-snapshot
QSAR studies for the inhibition of the transmembrane isozymes XII and XIV of human carbonic anhydrase with a series of sulfonamides
inferred← citeshttps://doi.org/10.1016/j.bmc.2007.08.057openalex-snapshot
A novel QSAR model for prediction of apoptosis-inducing activity of 4-aryl-4-H-chromenes based on support vector machine
inferred← citeshttps://doi.org/10.1016/j.bmc.2007.11.029openalex-snapshot
QSAR modeling of the rodent carcinogenicity of nitrocompounds
inferred← citeshttps://doi.org/10.1016/j.bmc.2010.09.015openalex-snapshot
Anti-leishmanial and anti-trypanosomal activities of 1,4-dihydropyridines: In vitro evaluation and structure–activity relationship study
inferred← citeshttps://doi.org/10.1016/j.bmc.2012.11.004openalex-snapshot
QSAR studies of sulfamate and sulfamide inhibitors targeting human carbonic anhydrase isozymes I, II, IX and XII
inferred← citeshttps://doi.org/10.1016/j.bmc.2014.01.036openalex-snapshot
Antiprotozoan lead discovery by aligning dry and wet screening: Prediction, synthesis, and biological assay of novel quinoxalinones
inferred← citeshttps://doi.org/10.1016/j.bmcl.2004.08.066openalex-snapshot
QSAR modeling of the MAO inhibitory activity of xanthones derivatives
inferred← citeshttps://doi.org/10.1016/j.bmcl.2005.09.085openalex-snapshot
New tyrosinase inhibitors selected by atomic linear indices-based classification models
inferred← citeshttps://doi.org/10.1016/j.bmcl.2013.06.099openalex-snapshot
Semisynthesis and quantitative structure–activity relationship (QSAR) study of some cholesterol-based hydrazone derivatives as insecticidal agents
inferred← citeshttps://doi.org/10.1016/j.carbpol.2012.02.016openalex-snapshot
A QSPR study of drug release from an arabinoxylan using ab initio optimization and neural networks
inferred← citeshttps://doi.org/10.1016/j.carres.2024.109147openalex-snapshot
Graph theoretical descriptors differentiate d-Mannose isomers in the principal component proposed feature space: A computational approach
inferred← citeshttps://doi.org/10.1016/j.chemolab.2003.10.003openalex-snapshot
A distance measure between models: a tool for similarity/diversity analysis of model populations
inferred← citeshttps://doi.org/10.1016/j.chemolab.2004.01.012openalex-snapshot
Quantitative structure–retention relationships XIV
inferred← citeshttps://doi.org/10.1016/j.chemolab.2004.11.001openalex-snapshot
A performance comparison of modern statistical techniques for molecular descriptor selection and retention prediction in chromatographic QSRR studies
inferred← citeshttps://doi.org/10.1016/j.chemolab.2005.12.002openalex-snapshot
Application of the replacement method as a novel variable selection strategy in QSAR. 1. Carcinogenic potential
inferred← citeshttps://doi.org/10.1016/j.chemolab.2006.04.010openalex-snapshot
Modelling the quality of enantiomeric separations based on molecular descriptors
inferred← citeshttps://doi.org/10.1016/j.chemolab.2008.02.006openalex-snapshot
Linear and nonlinear QSPR models to predict refractive indices of polymers from cyclic dimer structures
inferred← citeshttps://doi.org/10.1016/j.chemolab.2009.11.002openalex-snapshot
Prediction of the acute toxicity of chemical compounds to the fathead minnow by machine learning approaches
inferred← citeshttps://doi.org/10.1016/j.chemolab.2011.03.006openalex-snapshot
Prediction of Setschenow constants of organic compounds based on a 3D structure representation
inferred← citeshttps://doi.org/10.1016/j.chemolab.2016.02.003openalex-snapshot
Efficient way of designing fullerene derivatives based on simplified DFT calculations and QSPR modeling
inferred← citeshttps://doi.org/10.1016/j.chemolab.2016.03.023openalex-snapshot
Variable-selection approaches to generate QSAR models for a set of antichagasic semicarbazones and analogues
inferred← citeshttps://doi.org/10.1016/j.chemolab.2016.07.007openalex-snapshot
QSPR study on normal boiling point of acyclic oxygen containing organic compounds by radial basis function artificial neural network
inferred← citeshttps://doi.org/10.1016/j.chemolab.2024.105278openalex-snapshot
A review of quantitative structure-activity relationship: The development and current status of data sets, molecular descriptors and mathematical models
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2004.08.003openalex-snapshot
Ranking of aquatic toxicity of esters modelled by QSAR
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2005.07.002openalex-snapshot
The importance of outlier detection and training set selection for reliable environmental QSAR predictions
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2006.09.079openalex-snapshot
Linear QSAR regression models for the prediction of bioconcentration factors by physicochemical properties and structural theoretical molecular descriptors
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2008.02.033openalex-snapshot
Quantitative structure–toxicity relationship study of lethal concentration to tadpole (Bufo vulgaris formosus) for organophosphorous pesticides
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2008.05.024openalex-snapshot
A novel approach to predict aquatic toxicity from molecular structure
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2008.11.081openalex-snapshot
Determination and prediction of xenoestrogens by recombinant yeast-based assay and QSAR
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2011.04.021openalex-snapshot
Cytotoxicity estimation of ionic liquids based on their effective structural features
inferred← citeshttps://doi.org/10.1016/j.chroma.2009.08.079openalex-snapshot
Quantitative structure-retention relationship studies for taxanes including epimers and isomeric metabolites in ultra fast liquid chromatography
inferred← citeshttps://doi.org/10.1016/j.colsurfa.2004.03.027openalex-snapshot
Solvent molecular descriptors on poly(d, l-lactide-co-glycolide) particle size in emulsification–diffusion process
inferred← citeshttps://doi.org/10.1016/j.compbiolchem.2022.107694openalex-snapshot
A multilevel approach for screening natural compounds as an antiviral agent for COVID-19
inferred← citeshttps://doi.org/10.1016/j.csbj.2024.07.003openalex-snapshot
Artificial intelligence in antidiabetic drug discovery: The advances in QSAR and the prediction of α-glucosidase inhibitors
inferred← citeshttps://doi.org/10.1016/j.csr.2003.06.002openalex-snapshot
The BEAM-project: prediction and assessment of mixture toxicities in the aquatic environment
inferred← citeshttps://doi.org/10.1016/j.dche.2025.100244openalex-snapshot
Machine learning for asphaltene polarizability: Evaluating molecular descriptors
inferred← citeshttps://doi.org/10.1016/j.drudis.2018.06.016openalex-snapshot
Neural network and deep-learning algorithms used in QSAR studies: merits and drawbacks
inferred← citeshttps://doi.org/10.1016/j.ecoenv.2021.112830openalex-snapshot
Prediction of phthalate acid esters degradation in soil using QSAR model: A combined consideration of soil properties and quantum chemical parameters
inferred← citeshttps://doi.org/10.1016/j.ejmech.2005.04.014openalex-snapshot
GETAWAY descriptors to predicting A2A adenosine receptors agonists
inferred← citeshttps://doi.org/10.1016/j.ejmech.2007.03.036openalex-snapshot
A chemometric study of the 5-HT1A receptor affinities presented by arylpiperazine compounds
inferred← citeshttps://doi.org/10.1016/j.ejmech.2007.10.020openalex-snapshot
Radial Distribution Function descriptors for predicting affinity for vitamin D receptor
inferred← citeshttps://doi.org/10.1016/j.ejmech.2008.01.003openalex-snapshot
Use of self-organizing maps and molecular descriptors to predict the cytotoxic activity of sesquiterpene lactones
inferred← citeshttps://doi.org/10.1016/j.ejmech.2008.03.001openalex-snapshot
QSAR study of antioxidant activity of wine polyphenols
inferred← citeshttps://doi.org/10.1016/j.ejmech.2009.09.006openalex-snapshot
Application of genetic algorithm-support vector machine (GA-SVM) for prediction of BK-channels activity
inferred← citeshttps://doi.org/10.1016/j.ejmech.2010.07.017openalex-snapshot
Multivariate QSAR study on the antimutagenic activity of flavonoids against 3-NFA on Salmonella typhimurium TA98
inferred← citeshttps://doi.org/10.1016/j.ejmech.2010.07.050openalex-snapshot
Analysis of physico-chemical properties of substrates of ABC and MFS multidrug transporters of pathogenic Candida albicans
inferred← citeshttps://doi.org/10.1016/j.ejmech.2011.03.061openalex-snapshot
Combining molecular docking and QSAR studies for modelling the antigyrase activity of cyclothialidine derivatives
inferred← citeshttps://doi.org/10.1016/j.ejmech.2011.04.057openalex-snapshot
Ligand-based discovery of novel trypanosomicidal drug-like compounds: In silico identification and experimental support
inferred← citeshttps://doi.org/10.1016/j.ejmech.2011.05.009openalex-snapshot
Could LogP be a principal determinant of biological activity in 18-crown-6 ethers? Synthesis of biologically active adamantane-substituted diaza-crowns
inferred← citeshttps://doi.org/10.1016/j.ejmech.2011.07.053openalex-snapshot
Discovery of novel anti-inflammatory drug-like compounds by aligning in silico and in vivo screening: The nitroindazolinone chemotype
inferred← citeshttps://doi.org/10.1016/j.ejmech.2015.03.063openalex-snapshot
Bond-based bilinear indices for computational discovery of novel trypanosomicidal drug-like compounds through virtual screening
inferred← citeshttps://doi.org/10.1016/j.ejps.2009.10.007openalex-snapshot
Computational discovery of novel trypanosomicidal drug-like chemicals by using bond-based non-stochastic and stochastic quadratic maps and linear discriminant analysis
inferred← citeshttps://doi.org/10.1016/j.ejps.2012.06.021openalex-snapshot
Quantitative structure–activity relationship prediction of blood-to-brain partitioning behavior using support vector machine
inferred← citeshttps://doi.org/10.1016/j.ejps.2021.106056openalex-snapshot
Application of in vitro PAMPA technique and in silico computational methods for blood-brain barrier permeability prediction of novel CNS drug candidates
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