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A Novel Structure-Based Multimode QSAR Method Affords Predictive Models for Phosphodiesterase Inhibitors
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9780470125793.ch9openalex-snapshot
The Molecular Connectivity Chi Indexes and Kappa Shape Indexes in Structure‐Property Modeling
inferredcites →https://doi.org/10.1002/qsar.19940130306openalex-snapshot
Variable Selection in QSAR Studies. I. An Evolutionary Algorithm
inferredcites →https://doi.org/10.1002/qsar.19940130403openalex-snapshot
Variable Selection in QSAR Studies. II. A Highly Efficient Combination of Systematic Search and Evolution
inferredcites →https://doi.org/10.1016/0160-9327(86)90116-xopenalex-snapshot
Molecular connectivity in structure-activity analysis
inferredcites →https://doi.org/10.1016/0893-6080(91)90045-7openalex-snapshot
ART 2-A: An adaptive resonance algorithm for rapid category learning and recognition
inferredcites →https://doi.org/10.1016/b978-0-12-406560-4.x5001-6openalex-snapshot
Molecular Connectivity in Chemistry and Drug Research
inferredcites →https://doi.org/10.1016/j.ejmech.2003.09.001openalex-snapshot
3D-QSAR studies of indole derivatives as phosphodiesterase IV inhibitors
inferredcites →https://doi.org/10.1016/j.neulet.2007.03.033openalex-snapshot
Broad spectrum neuroprotection profile of phosphodiesterase inhibitors as related to modulation of cell-cycle elements and caspase-3 activation
inferredcites →https://doi.org/10.1016/s0960-894x(98)00324-2openalex-snapshot
The synthesis and biological evaluation of a novel series of indole PDE4 inhibitors I
inferredcites →https://doi.org/10.1021/ci00020a020openalex-snapshot
Application of Genetic Function Approximation to Quantitative Structure-Activity Relationships and Quantitative Structure-Property Relationships
inferredcites →https://doi.org/10.1021/ci00022a009openalex-snapshot
Evolutionary Programming Applied to the Development of Quantitative Structure-Activity Relationships and Quantitative Structure-Property Relationships
inferredcites →https://doi.org/10.1021/ci00023a011openalex-snapshot
Automated Descriptor Selection for Quantitative Structure-Activity Relationships Using Generalized Simulated Annealing
inferredcites →https://doi.org/10.1021/ci0340714openalex-snapshot
Quantitative Structure-Based Design: Formalism and Application of Receptor-Dependent RD-4D-QSAR Analysis to a Set of Glucose Analogue Inhibitors of Glycogen Phosphorylase
inferredcites →https://doi.org/10.1021/ci034100aopenalex-snapshot
Multimode Ligand Binding in Receptor Site Modeling: Implementation in CoMFA
inferredcites →https://doi.org/10.1021/ci049885eopenalex-snapshot
LigandScout: 3-D Pharmacophores Derived from Protein-Bound Ligands and Their Use as Virtual Screening Filters
inferredcites →https://doi.org/10.1021/ci050326xopenalex-snapshot
Structure-Based QSAR Analysis of a Set of 4-Hydroxy-5,6-dihydropyrones as Inhibitors of HIV-1 Protease: An Application of the Receptor-Dependent (RD) 4D-QSAR Formalism
inferredcites →https://doi.org/10.1021/ci7004548openalex-snapshot
AutoShim: Empirically Corrected Scoring Functions for Quantitative Docking with a Crystal Structure and IC50 Training Data
inferredcites →https://doi.org/10.1021/ci700455uopenalex-snapshot
Surrogate AutoShim: Predocking into a Universal Ensemble Kinase Receptor for Three Dimensional Activity Prediction, Very Quickly, without a Crystal Structure
inferredcites →https://doi.org/10.1021/ja00226a005openalex-snapshot
Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins
inferredcites →https://doi.org/10.1021/ja00544a005openalex-snapshot
A QSAR investigation of dihydrofolate reductase inhibition by Baker triazines based upon molecular shape analysis
inferredcites →https://doi.org/10.1021/ja00856a001openalex-snapshot
Characterization of molecular branching
inferredcites →https://doi.org/10.1021/ja00901a033openalex-snapshot
The Correlation of Biological Activity of Plant Growth Regulators and Chloromycetin Derivatives with Hammett Constants and Partition Coefficients
inferredcites →https://doi.org/10.1021/ja9718937openalex-snapshot
Construction of 3D-QSAR Models Using the 4D-QSAR Analysis Formalism
inferredcites →https://doi.org/10.1021/jm00040a013openalex-snapshot
Three-dimensional quantitative structure-activity relationship of human immunodeficiency virus (I) protease inhibitors. 2. Predictive power using limited exploration of alternate binding modes
inferredcites →https://doi.org/10.1021/jm00194a020openalex-snapshot
Distance geometry approach to rationalizing binding data
inferredcites →https://doi.org/10.1021/jm030586aopenalex-snapshot
Characterization of a Ligand−Receptor Binding Event Using Receptor-Dependent Four-Dimensional Quantitative Structure−Activity Relationship Analysis
inferredcites →https://doi.org/10.1021/jm9507035openalex-snapshot
Evolutionary Optimization in Quantitative Structure−Activity Relationship: An Application of Genetic Neural Networks
inferredcites →https://doi.org/10.1021/jm950771ropenalex-snapshot
Structure-Based Alignment and Comparative Molecular Field Analysis of Acetylcholinesterase Inhibitors
inferredcites →https://doi.org/10.1023/a:1021372108686openalex-snapshot
Predictive QSAR modeling based on diversity sampling of experimental datasets for the training and test set selection
inferredcites →https://doi.org/10.1023/a:1025386326946openalex-snapshot
Rational selection of training and test sets for the development of validated QSAR models
inferredcites →https://doi.org/10.1145/235815.235821openalex-snapshot
The quickhull algorithm for convex hulls
inferredcites →https://doi.org/10.2174/1875397300802010029openalex-snapshot
A New Structure-Based QSAR Method Affords both Descriptive and Predictive Models for Phosphodiesterase-4 Inhibitors
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cmtd.202000031openalex-snapshot
Machine‐Learning Approaches to Tune Descriptors and Predict the Viscosities of Ionic Liquids and Their Mixtures
inferred← citeshttps://doi.org/10.1016/j.bmcl.2016.12.076openalex-snapshot
Synthesis, evaluation and quantitative structure–activity relationship (QSAR) analysis of Wogonin derivatives as cytotoxic agents
inferred← citeshttps://doi.org/10.1016/s0079-6468(10)49004-9openalex-snapshot
Computational Analysis of Structure–Activity Relationships
inferred← citeshttps://doi.org/10.1021/ci200234popenalex-snapshot
Development of a Minimal Kinase Ensemble Receptor (MKER) for Surrogate AutoShim
inferred← citeshttps://doi.org/10.1039/c6ra11210bopenalex-snapshot
Pharmacophore generation and atom based 3D-QSAR of quinoline derivatives as selective phosphodiesterase 4B inhibitors
inferred← citeshttps://doi.org/10.2174/1568026611313090006openalex-snapshot
Methods and Applications of Structure Based Pharmacophores in Drug Discovery
inferred← citeshttps://doi.org/10.4155/9781909453012openalex-snapshot
In Silico Drug Discovery and Design
inferred← citeshttps://doi.org/10.4155/fmc.11.49openalex-snapshot
Structure-Based Quantitative Structure–Activity Relationship Modeling of Estrogen Receptor β-Ligands
inferred← citeshttps://doi.org/10.5772/intechopen.68842openalex-snapshot
Computational Approaches in the Development of Phosphodiesterase Inhibitors
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