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GRID/GOLPE 3D Quantitative Structure−Activity Relationship Study on a Set of Benzamides and Naphthamides, with Affinity for the Dopamine D3 Receptor Subtype

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What this work says

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

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Multivariate characterization of molecules for QSAR analysis

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Predictive ability of regression models. Part I: Standard deviation of prediction errors (SDEP)

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Predictive ability of regression models. Part II: Selection of the best predictive PLS model

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Validation of the general purpose tripos 5.2 force field

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Partial optimization of large molecules and clusters

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Macromodel—an integrated software system for modeling organic and bioorganic molecules using molecular mechanics

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Generating Optimal Linear PLS Estimations (GOLPE): An Advanced Chemometric Tool for Handling 3D‐QSAR Problems

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A genetic algorithm for flexible molecular overlay and pharmacophore elucidation

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Partial least-squares regression: a tutorial

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Relationship between the inhibition constant (KI) and the concentration of inhibitor which causes 50 per cent inhibition (I50) of an enzymatic reaction

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Chemometrics for experimental design

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4-bromo-1-methoxy-N-[2-(4-aryl-1-piperazinyl)ethyl]-2-naphthalenecarboxamides: Selective dopamine D3 receptor partial agonists

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Manganese(I)-induced 1,6-demethanation across the carbon-carbon triple bond of linear alkynes in the gas phase. A case for the generation of manganese cycloalkynes?

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Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins

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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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Affinity for Dopamine D2, D3, and D4Receptors of 2-Aminotetralins. Relevance of D2Agonist Binding for Determination of Receptor Subtype Selectivity

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Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models

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Experimental Design: Review and Comment

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A functional test identifies dopamine agonists selective for D3 versus D2 receptors

What points at this work

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

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Modelling Structure‐Activity Relationships

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Conformational analysis: A new approach by means of chemometrics

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Molecular interaction fields in drug discovery: recent advances and future perspectives

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Chemometric Detection of Binding Sites of 7TM Receptors

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Quantitative structure – activity relationship studies on membrane receptors inhibition by antipsychotic drugs. Application to schizophrenia treatment

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Three-Dimensional Quantitative Structure–Activity Relationship: The State of the Art

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Quantitative Structure–Activity Relationships

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Molecular modeling study of 4-phenylpiperazine and 4-phenyl-1,2,3,6-tetrahydropyridine derivatives: A new step towards the design of high-affinity 5-HT1A ligands

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Current drug treatments targeting dopamine D3 receptor

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Glucocorticoid receptor interactions with glucocorticoids: evaluation by molecular modeling and functional analysis of glucocorticoid receptor mutants

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Dopaminergic Approaches to Antipsychotic Agents

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Return of D4Dopamine Receptor Antagonists in Drug Discovery

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Different Binding Modes of Structurally Diverse Ligands for Human D3DAR

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Predicting Kinase Selectivity Profiles Using Free-Wilson QSAR Analysis

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Comparative Molecular Field Analysis of Dopamine D4 Receptor Antagonists Including 3-[4-(4-Chlorophenyl)piperazin-1-ylmethyl]pyrazolo[1,5-a]pyridine (FAUC 113), 3-[4-(4-Chlorophenyl)piperazin-1-ylmethyl]-1H-pyrrolo[2,3-b]pyridine (L-745,870), and Clozapine

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Synthesis and Pharmacological Evaluation of Potent and Highly Selective D3 Receptor Ligands: Inhibition of Cocaine-Seeking Behavior and the Role of Dopamine D3/D2 Receptors

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Affinity and Selectivity of Matrix Metalloproteinase Inhibitors: A Chemometrical Study from the Perspective of Ligands and Proteins

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Integrating Structure-Based and Ligand-Based Approaches for Computational Drug Design

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