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Three-Dimensional Quantitative Structure−Activity Relationships from Molecular Similarity Matrices and Genetic Neural Networks. 1. Method and Validations

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What this work says

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

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Different electrostatic descriptors in comparative molecular field analysis: A comparison of molecular electrostatic and coulomb potentials
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Correlation analysis of substituent effects on the acidity of benzoic acids by the AM1 method
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Variable Selection in QSAR Studies. II. A Highly Efficient Combination of Systematic Search and Evolution
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Crystallographic Binding Studies on the Allosteric Inhibitor Glucose-6-Phosphate to T State Glycogen Phosphorylase b
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The Binding of 2-Deoxy-D-glucose 6-Phosphate to Glycogen Phosphorylaseb: Kinetic and Crystallographic Studies
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Modelling of Biomolecular Structures and Mechanisms
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Determination of receptor-bound drug conformations by QSAR using flexible fitting to derive a molecular similarity index
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Similarity of molecular shape
inferredcites →https://doi.org/10.1007/bf00355042openalex-snapshot
Three-dimensional quantitative structure-activity relationships of steroid aromatase inhibitors
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Corticosteroid-binding globulin
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The design of potential antidiabetic drugs: experimental investigation of a number of β-D-glucose analogue inhibitors of glycogen phosphorylase
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Binding of polychlorinated biphenyls classified as either phenobarbitone-, 3-methylcholanthrene- or mixed-type inducers to cytosolic Ah receptor
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Iterative partial equalization of orbital electronegativity—a rapid access to atomic charges
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Chemometric methods in molecular design
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Computer-assisted lead finding and optimization, current tools for medicinal chemistry
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A scaled conjugate gradient algorithm for fast supervised learning
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Design of Inhibitors of Glycogen Phosphorylase: A Study of .alpha.- and .beta.-C-Glucosides and 1-Thio-.beta.-D-glucose Compounds
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Analysis of sequence homologies in plant and bacterial pyruvate phosphate dikinase, enzyme I of the bacterial phospoenolpyruvate:sugar phosphotransferase system and other PEP-utilizing enzymes. Identification of potential catalytic and regulatory motifs
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Steroid-protein interactions. Human corticosteroid binding globulin: some physicochemical properties and binding specificity
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Computational neural networks as model-free mapping devices
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Chemical Information in 3D Space
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Charge equilibration for molecular dynamics simulations
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Design of chromophoric molecular assemblies with large second-order optical nonlinearities. A theoretical analysis of the role of intermolecular interactions
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Autocorrelation of Molecular Surface Properties for Modeling Corticosteroid Binding Globulin and Cytosolic Ah Receptor Activity by Neural Networks
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Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins
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Molecular Similarity Matrixes and Quantitative Structure-Activity Relationships: A Case Study with Methodological Implications
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Quantitative Structure-Activity Relationships (QSARs) of N-Terminus Fragments of NK1 Tachykinin Antagonists: A Comparison of Classical QSARs and Three-Dimensional QSARs from Similarity Matrixes
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Comparative Molecular Field Analysis Using GRID Force-Field and GOLPE Variable Selection Methods in a Study of Inhibitors of Glycogen Phosphorylase b
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Analysis of linear and nonlinear QSAR data using neural networks
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Molecular Similarity Indices in a Comparative Analysis (CoMSIA) of Drug Molecules to Correlate and Predict Their Biological Activity
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Pentamidine Congeners. 2. 2-Butene-Bridged Aromatic Diamidines and Diimidazolines as Potential Anti-Pneumocystis carinii Pneumonia Agents
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Comparative molecular field analysis of polyhalogenated dibenzo-p-dioxins, dibenzofurans, and biphenyls
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2-(Oxadiazolyl)- and 2-(thiazolyl)imidazo[1,2-a]pyrimidines as agonists and inverse agonists at benzodiazepine receptors
inferredcites →https://doi.org/10.1021/jm00113a022openalex-snapshot
Applications of neural networks in quantitative structure-activity relationships of dihydrofolate reductase inhibitors
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A computational procedure for determining energetically favorable binding sites on biologically important macromolecules
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Comparative computer graphics and solution studies of the DNA interaction of substituted anthraquinones based on doxorubicin and mitoxantrone
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1-(Substituted-benzyl)imidazole-2(3H)thione inhibitors of dopamine .beta.-hydroxylase
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Tertiary (2-haloethyl)amine derivatives of the muscarinic agent McN-A-343, [4-[[N-(3-chlorophenyl)carbamoyl]oxy]-2-butynyl]trimethylammonium chloride
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Synthetic and computer-assisted analyses of the pharmacophore for the benzodiazepine receptor inverse agonist site
inferredcites →https://doi.org/10.1021/jm00196a017openalex-snapshot
Chance factors in studies of quantitative structure-activity relationships
inferredcites →https://doi.org/10.1021/jm00196a018openalex-snapshot
A preliminary structure-activity study of the mixed-function oxidase inhibitor, 7,8-benzoflavone
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Combined distance geometry analysis of dihydrofolate reductase inhibition by quinazolines and triazines
inferredcites →https://doi.org/10.1021/jm950589qopenalex-snapshot
Comparative Molecular Moment Analysis (CoMMA): 3D-QSAR without Molecular Superposition
inferredcites →https://doi.org/10.1021/jo00008a029openalex-snapshot
Perimeter model and magnetic circular dichroism of porphyrin analogs
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Introduction to the Theory of Neural Computation
inferredcites →https://doi.org/10.1210/jcem-53-1-69openalex-snapshot
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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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Application of neural networks in structure-activity relationships
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Quantitative Structure‐Activity Relationships ( QSARs )
inferred← citeshttps://doi.org/10.1002/9781118445112.stat07630openalex-snapshot
Quantitative Structure‐Activity Relationships ( QSAR )
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Bibliography
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New Techniques and Future Directions
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Quantitative Structure‐Activity Relationships
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3D QSAR Models
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Quantitative Structure–Activity Relationship of the 4,5α‐Dihydrotestosterone Steroid Family
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Molecular Surface Features in Modeling the HIV‐1 RT Inhibitory Activity of 2‐(2,6‐Disubstituted phenyl)‐3‐(substituted pyrimidin‐2‐yl)‐thiazolidin‐4‐ones
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Squiggly Lines and Random Dots—You Can Fit Anything with a Nonlinear Model
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Cheminformatics Approaches in Modern Drug Discovery
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2D-QSAR of non-benzodiazepines to benzodiazepines receptor (BZR)
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Exploring the relationship between the physico-chemical parameters and anti-tubercular activity of quinoline-3-carboxylic acids: a QSAR approach
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QSAR study on the Ah receptor-binding affinities of polyhalogenated dibenzo-p-dioxins using net atomic-charge descriptors and a radial basis neural network
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2D and 3D QSAR studies of diarylpyrimidine HIV-1 reverse transcriptase inhibitors
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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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Novel 2D TOMOCOMD-CARDD molecular descriptors: atom-based stochastic and non-stochastic bilinear indices and their QSPR applications
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Formal theory of the comparative relations: its application to the study of quantum similarity and dissimilarity measures and indices
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Novel global and local 3D atom-based linear descriptors of the Minkowski distance matrix: theory, diversity–variability analysis and QSPR applications
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Chemometric descriptors in modeling the carbonic anhydrase inhibition activity of sulfonamide and sulfamate derivatives
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CP-MLR/PLS directed QSAR study on apical sodium-codependent bile acid transporter inhibition activity of benzothiepines
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Genetic algorithm optimization in drug design QSAR: Bayesian-regularized genetic neural networks (BRGNN) and genetic algorithm-optimized support vectors machines (GA-SVM)
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Analysis of Chemical Spaces: Implications for Drug Repurposing
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How to avoid over-fitting in multivariate calibration—The conventional validation approach and an alternative
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CP-MLR directed QSAR studies on the antimycobacterial activity of functionalized alkenols—topological descriptors in modeling the activity
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Constructing plasma protein binding model based on a combination of cluster analysis and 4D-fingerprint molecular similarity analyses
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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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Identification of optimum computational protocols for modeling the aryl hydrocarbon receptor (AHR) and its interaction with ligands
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QSARs for the toxicity of polychlorinated dibenzofurans through DFT-calculated descriptors of polarizabilities, hyperpolarizabilities and hyper-order electric moments
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Theoretical study of the quantitative structure–activity relationships for the toxicity of dibenzo-p-dioxins
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Toxicity of polyhalogenated dibenzo-p-furans in the light of nucleic acid bases interaction
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3D-QSAR studies on 1,2,4-triazolyl 5-azaspiro [2.4]-heptanes as D3R antagonists
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QSAR study about ATP-sensitive potassium channel activation of cromakalim analogues using CP-MLR approach
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QSAR study on tetrahydroquinoline analogues as plasmodium protein farnesyltransferase inhibitors: A comparison of rationales of malarial and mammalian enzyme inhibitory activities for selectivity
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3D and quantum QSAR of non-benzodiazepine compounds
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A rationale for the activity profile of arylpiperazinylthioalkyls as 5-HT1A-serotonin and α1-adrenergic receptor ligands
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A rationale for the activity profile of benzenesulfonamide derivatives as cyclooxygenase (COX) inhibitors
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QSAR study of substituted 1,3,4-oxadiazole naphthyridines as HIV-1 integrase inhibitors
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Docking and 3D-QSAR studies on the Ah receptor binding affinities of polychlorinated biphenyls (PCBs), dibenzo-p-dioxins (PCDDs) and dibenzofurans (PCDFs)
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Atom-based stochastic and non-stochastic 3D-chiral bilinear indices and their applications to central chirality codification
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3D-QSAR studies of D3R antagonists and 5-HT1AR agonists
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Comparison of steroid substrates and inhibitors of P-glycoprotein by 3D-QSAR analysis
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In silico prediction of harmful effects triggered by drugs and chemicals
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Prediction of drug transfer into human milk from theoretically derived descriptors
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The neural network MolNet prediction of alkane enthalpies
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Predicting plasma protein binding of drugs: a new approach
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Electronic eigenvalue (EEVA): a new QSAR/QSPR descriptor for electronic substituent effects based on molecular orbital energies. A QSAR approach to the Ah receptor binding affinity of polychlorinated biphenyls (PCBs), dibenzo-p-dioxins (PCDDs) and dibenzofurans (PCDFs)
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Artificial neural networks for computer-based molecular design
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Cross-validation as the objective function for variable-selection techniques
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Structure–activity relationship (SAR) studies of the tripos benchmark steroids
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Application of nonlinear and local modeling methods for 3D QSAR study of class I antiarrhythmics
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Pre-processing of three-way data by pulse-coupled neural networks—an imaging approach
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A comparative study of quantitative structure activity relationship methods based on antitumor diarylsulfonylureas
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Neural networks in drug discovery: have they lived up to their promise?
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Quantitative structure–activity relationships by evolved neural networks for the inhibition of dihydrofolate reductase by pyrimidines
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Application of the artificial neural network in quantitative structure–gradient elution retention relationship of phenylthiocarbamyl amino acids derivatives
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Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research
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The 3-D QSAR study of anticancer 1-N-substituted imidazo- and pyrrolo-quinoline-4,9-dione derivatives by CoMFA and CoMSIA
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Evolutionary combinatorial chemistry: application of genetic algorithms
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Applications of genetic algorithms in molecular diversity
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Computer-aided molecular design with BP-ANN and global optimization algorithm
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Prediction of enzyme activity with neural network models based on electronic and geometrical features of substrates
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Designing Sequence-Specific Copolymer Compatibilizers Using a Molecular-Dynamics-Simulation-Based Genetic Algorithm
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A High Dimensional QSAR Study on the Aldose Reductase Inhibitory Activity of Some Flavones: Topological Descriptors in Modeling the Activity
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Identifying Biologically Active Compound Classes Using Phenotypic Screening Data and Sampling Statistics
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Topological Descriptors in Modeling the Antimalarial Activity of 4-(3‘,5‘-Disubstituted anilino)quinolines
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Nonparametric Regression Applied to Quantitative Structure−Activity Relationships
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Comparative Quantitative Structure−Activity Relationship Studies (QSAR) on Non-Benzodiazepine Compounds Binding to Benzodiazepine Receptor (BzR)
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Quantitative Correlation of Physical and Chemical Properties with Chemical Structure: Utility for Prediction
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Understanding the Congener-Specific Toxicity in Polychlorinated Dibenzo-p-dioxins: Chlorination Pattern and Molecular Quadrupole Moment
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Quantum-Chemical Foundations of the Topological Substructural Molecular Design
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A comparative study of ligand-receptor complex binding affinity prediction methods based on glycogen phosphorylase inhibitors
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A New Algorithm for Spatial Learning of Artificial Neural Networks Based on Lattice Models of Chemical Structures for QSAR Analysis
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Role of Genetic Algorithms and Artificial Neural Networks in Predicting the Phase Behavior of Colloidal Delivery Systems
inferred← citeshttps://doi.org/10.1023/a:1011945119287openalex-snapshot
Evaluation of designed ligands by a multiple screening method: Application to glycogen phosphorylase inhibitors constructed with a variety of approaches
inferred← citeshttps://doi.org/10.1023/a:1020784004649openalex-snapshot
A General Analysis of Field-Based Molecular Similarity Indices
inferred← citeshttps://doi.org/10.1023/b:jcam.0000021882.99270.4copenalex-snapshot
Protein-ligand binding free energy estimation using molecular mechanics and continuum electrostatics. Application to HIV-1 protease inhibitors
inferred← citeshttps://doi.org/10.1023/b:jcam.0000030036.67468.7copenalex-snapshot
Quantitative structure–activity relationships from optimised ab initio bond lengths: steroid binding affinity and antibacterial activity of nitrofuran derivatives
inferred← citeshttps://doi.org/10.1023/b:modi.0000006753.11500.37openalex-snapshot
Artificial neural networks: Non-linear QSAR studies of HEPT derivatives as HIV-1 reverse transcriptase inhibitors
inferred← citeshttps://doi.org/10.1039/c6ra15056jopenalex-snapshot
A GMDH-type neural network with multi-filter feature selection for the prediction of transition temperatures of bent-core liquid crystals
inferred← citeshttps://doi.org/10.1057/palgrave.jors.2602132openalex-snapshot
AI and OR in management of operations: history and trends
inferred← citeshttps://doi.org/10.1080/00032719908542831openalex-snapshot
Genetic Algorithms in Analytical Chemistry
inferred← citeshttps://doi.org/10.1080/02678292.2016.1155769openalex-snapshot
Prediction of clearing temperatures of bent-core liquid crystals using decision trees and multivariate adaptive regression splines
inferred← citeshttps://doi.org/10.1080/08927022.2010.490399openalex-snapshot
QSAR-based prediction of anti-HCV activity of thiourea derivatives
inferred← citeshttps://doi.org/10.1080/10629360903570545openalex-snapshot
Combinatorial protocol in multiple linear regression/partial least-squares directed rationale for the caspase-3 inhibition activity of isoquinoline-1,3,4-trione derivatives
inferred← citeshttps://doi.org/10.1080/10629361003773997openalex-snapshot
A quantitative structure-activity relationship study on serotonin 5-HT6receptor ligands: indolyl and piperidinyl sulphonamides
inferred← citeshttps://doi.org/10.1080/10629369908039164openalex-snapshot
EEVA (Electronic Eigenvalue): A New QSAR/QSPR Descriptor for Electronic Substituent Effects Based on Molecular Orbital Energies
inferred← citeshttps://doi.org/10.1080/1062936x.2011.569895openalex-snapshot
Modelling of serotonin reuptake inhibitory and histamine H 3 antagonistic activity of piperazine and diazepane amides: QSAR rationales for co-optimization of the activity profiles
inferred← citeshttps://doi.org/10.1080/1062936x.2011.623320openalex-snapshot
QSAR models of cytochrome P450 enzyme 1A2 inhibitors using CoMFA, CoMSIA and HQSAR
inferred← citeshttps://doi.org/10.1080/1062936x.2015.1018941openalex-snapshot
The application of machine learning to the modelling of percutaneous absorption: An overview and guide
inferred← citeshttps://doi.org/10.1080/10715760000300531openalex-snapshot
4-Mercaptoimidazoles derived from the naturally occurring antioxidant ovothiols 2. Computational and experimental approach of the radical scavenging mechanism
inferred← citeshttps://doi.org/10.1080/14756360801915336openalex-snapshot
Topological descriptors in modeling malonyl coenzyme A decarboxylase inhibitory activity: N-Alkyl-N-(1,1,1,3,3,3-hexafluoro-2-hydroxypropylphenyl)amide derivatives
inferred← citeshttps://doi.org/10.1080/14756360801915351openalex-snapshot
Modeling of vascular endothelial growth factor receptor 2 (VEGFR2) kinase inhibitory activity of 2-anilino-5-aryloxazoles using chemometric tools
inferred← citeshttps://doi.org/10.1080/14756360801915377openalex-snapshot
Topological descriptors in modelling antimalarial activity: N1-(7-chloro-4-quinolyl)-1,4-bis(3-aminopropyl)piperazine as prototype
inferred← citeshttps://doi.org/10.1080/14756360802318878openalex-snapshot
Modeling of cyclooxygenase-2 and 5-lipooxygenase inhibitory activity of apoptosis-inducing agents potentially useful in prostate cancer chemotherapy: Derivatives of diarylpyrazole
inferred← citeshttps://doi.org/10.1080/14756360802608054openalex-snapshot
Modeling of the growth hormone secretagogue receptor antagonistic activity using chemometric tools
inferred← citeshttps://doi.org/10.1088/0953-8984/21/33/333101openalex-snapshot
Transition path sampling and forward flux sampling. Applications to biological systems
inferred← citeshttps://doi.org/10.1093/bib/bbaf415openalex-snapshot
Boosting data interpretation with GIBOOST to enhance visualization of complex high-dimensional data
inferred← citeshttps://doi.org/10.1109/cec.2002.1006233openalex-snapshot
Evolved neural networks for quantitative structure-activity relationships of anti-HIV compounds
inferred← citeshttps://doi.org/10.1111/cbdd.12743openalex-snapshot
Computational Study and Modified Design of Selective Dopamine D 3Receptor Agonists
inferred← citeshttps://doi.org/10.1111/j.1600-0587.2008.05512.xopenalex-snapshot
Satellite image texture and a vegetation index predict avian biodiversity in the Chihuahuan Desert of New Mexico
inferred← citeshttps://doi.org/10.1124/dmd.104.000364openalex-snapshot
QUANTITATIVE STRUCTURE-METABOLISM RELATIONSHIP MODELING OF METABOLIC N-DEALKYLATION REACTION RATES
inferred← citeshttps://doi.org/10.1155/2013/154629openalex-snapshot
Topological Features in Profiling the Antimalarial Activity Landscape of Anilinoquinolines: A Multipronged QSAR Study
inferred← citeshttps://doi.org/10.1186/s13321-016-0122-xopenalex-snapshot
Examining the predictive accuracy of the novel 3D N-linear algebraic molecular codifications on benchmark datasets
inferred← citeshttps://doi.org/10.1186/s13321-017-0211-5openalex-snapshot
QuBiLS-MAS, open source multi-platform software for atom- and bond-based topological (2D) and chiral (2.5D) algebraic molecular descriptors computations
inferred← citeshttps://doi.org/10.1371/journal.pone.0065590openalex-snapshot
Prediction of Cross-Recognition of Peptide-HLA A2 by Melan-A-Specific Cytotoxic T Lymphocytes Using Three-Dimensional Quantitative Structure-Activity Relationships
inferred← citeshttps://doi.org/10.1385/mb:27:2:139openalex-snapshot
Neural Networks as Robust Tools in Drug Lead Discovery and Development
inferred← citeshttps://doi.org/10.1515/bams-2016-0008openalex-snapshot
A stepwise protocol for neural network modeling of persistent postoperative facial pain in chronic rhinosinusitis
inferred← citeshttps://doi.org/10.18524/2304-0947.2016.1(57).67514openalex-snapshot
QSAR ANALYSIS OF THE ECDYSTEROIDS’ AFFINITY BASED ON 2.5D-SIMPLEX REPRESENTATION OF THE MOLECULAR STRUCTURE
inferred← citeshttps://doi.org/10.2174/0113816128330939250313060926openalex-snapshot
CP-MLR/PLS-guided Quantitative Structure-activity Relationship Study on the Derivatives of Benzimidazolone as H3-Antihistaminic Agents
inferred← citeshttps://doi.org/10.2174/0113816128331664250206113701openalex-snapshot
QSAR and Molecular Docking Studies on Uracil-based Benzoic Acid and Ester Derivatives to Explore Novel Dipeptidyl Peptidase-4 Inhibitors
inferred← citeshttps://doi.org/10.2174/1568026619666190510093651openalex-snapshot
Higher-Order and Mixed Discrete Derivatives such as a Novel Graph- Theoretical Invariant for Generating New Molecular Descriptors
inferred← citeshttps://doi.org/10.24214/jcbps.a.14.2.10108openalex-snapshot
A Quantitative Structure-Activity Relationship Study of Insecticidal Activity of Propargyloxy-Naphthalene-Sulfonamide Derivatives
inferred← citeshttps://doi.org/10.2478/s11532-009-0073-4openalex-snapshot
CP-MLR directed QSAR study of carbonic anhydrase inhibitors: sulfonamide and sulfamate inhibitors
inferred← citeshttps://doi.org/10.30574/gscbps.2020.11.3.0169openalex-snapshot
QSAR rationales for the dipeptidyl peptidase-4 (DPP-4) inhibitors: The imidazolopyrimidine amides
inferred← citeshttps://doi.org/10.30574/gscbps.2020.12.1.0231openalex-snapshot
CP-MLR derived QSAR rationales for the PPARy agonistic activity of the pyridyloxybenzene-acylsulfonamide derivatives
inferred← citeshttps://doi.org/10.30574/gscbps.2021.16.1.0199openalex-snapshot
Quantitative structure-activity relationship study on the MMP-13 inhibitory activity of fused pyrimidine derivatives possessing a 1,2,4-Triazol-3-yl group as a ZBG
inferred← citeshttps://doi.org/10.30574/wjbphs.2020.3.1.0044openalex-snapshot
QSAR rationales for the PPARα/γ agonistic activity of 4,4-Dimethyl-1,2,3,4-tetrahydroquinoline derivatives
inferred← citeshttps://doi.org/10.3109/14756366.2010.519702openalex-snapshot
A QSAR study on 2-(4-methylpiperazin-1-yl)quinoxalines as human histamine H4receptor ligands
inferred← citeshttps://doi.org/10.3109/14756366.2010.548328openalex-snapshot
Consensus features of CP-MLR and GA in modeling HIV-1 RT inhibitory activity of 4-benzyl/benzoylpyridin-2-one analogues
inferred← citeshttps://doi.org/10.3109/14756366.2011.587414openalex-snapshot
QSAR of 2-(4-methylsulphonylphenyl)pyrimidine derivatives as cyclooxygenase-2 inhibitors: simple structural fragments as potential modulators of activity
inferred← citeshttps://doi.org/10.3390/ecsoc-9-01666openalex-snapshot
Bond, Bond-Type, and Total Linear Indices of the Non-Stochastic and Stochastic Edge Adjacency Matrix. 1. Theory and QSPR Studies
inferred← citeshttps://doi.org/10.3390/molecules17089971openalex-snapshot
BCL::EMAS — Enantioselective Molecular Asymmetry Descriptor for 3D-QSAR
inferred← citeshttps://doi.org/10.3390/molecules24091698openalex-snapshot
Analysis and Comparison of Vector Space and Metric Space Representations in QSAR Modeling
inferred← citeshttps://doi.org/10.4103/0250-474x.113539openalex-snapshot
Molecular Descriptors in Modelling the Tumour Necrosis Factor-α Converting Enzyme Inhibition Activity of Novel Tartrate-Based Analogues
inferred← citeshttps://doi.org/10.4172/2161-0444.1000134openalex-snapshot
Chemometric Descriptor Based QSAR Rationales for the MMP-13 Inhibition Activity of Non-Zinc-Chelating Compounds
inferred← citeshttps://doi.org/10.46624/bjmhr.2020.v7.i6.008openalex-snapshot
QSAR study on the Dipeptide-Derived Inhibitor of Dipeptidyl Peptidase IV: The (2S)-Cyanopyrrolidine analogues
inferred← citeshttps://doi.org/10.54905/disssi.v17i40.e34dd1959openalex-snapshot
Molecular descriptors in quantitative relationship with herbicidal activity of novel derivatives of 6-(5-arylsubstituted- 1-pyrazolyl)-2- picolinic acid
inferred← citeshttps://doi.org/10.5530/ptb.1.2.8openalex-snapshot
QSAR Study on Arylthioquinoline Derivatives as Anti-tubercular Agents
inferred← citeshttps://doi.org/10.9734/bjpr/2013/3903openalex-snapshot
QSAR Rationale of Matrix Metalloproteinase Inhibition Activity in a Class of Carboxylic Acid Based Compounds
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