On the public citation graph

Development of Linear, Ensemble, and Nonlinear Models for the Prediction and Interpretation of the Biological Activity of a Set of PDGFR Inhibitors

https://doi.org/10.1021/ci049849f
0 signed · 104 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/jps.2600690652openalex-snapshot
Computer assisted studies of chemical structure and biological function
inferredcites →https://doi.org/10.1002/jps.2600760325openalex-snapshot
Molecular Connectivity in Structure–activity Analysis
inferredcites →https://doi.org/10.1002/qsar.19970160404openalex-snapshot
Analysis of a Large Structure‐Activity Data Set Using Recursive Partitioning
inferredcites →https://doi.org/10.1006/jcss.1997.1504openalex-snapshot
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
inferredcites →https://doi.org/10.1016/0009-2614(82)80009-2openalex-snapshot
Highly discriminating distance-based topological index
inferredcites →https://doi.org/10.1016/0896-6273(92)90177-fopenalex-snapshot
Growth factor signaling by receptor tyrosine kinases
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/s0006-2952(00)00405-6openalex-snapshot
Biochemical and cellular effects of c-Src kinase-selective pyrido[2,3-d]pyrimidine tyrosine kinase inhibitors
inferredcites →https://doi.org/10.1016/s0928-0987(03)00170-2openalex-snapshot
Quantitative structure–activity relationships (QSAR): studies of inhibitors of tyrosine kinase
inferredcites →https://doi.org/10.1016/s0960-894x(97)10117-2openalex-snapshot
A novel series of 4-phenoxyquinolines: potent and highly selective inhibitors of PDGF receptor autophosphorylation
inferredcites →https://doi.org/10.1016/s0969-2126(99)80042-2openalex-snapshot
Crystal structure of the kinase domain of human vascular endothelial growth factor receptor 2: a key enzyme in angiogenesis
inferredcites →https://doi.org/10.1021/ac00087a012openalex-snapshot
Prediction of Reduced Ion Mobility Constants from Structural Information Using Multiple Linear Regression Analysis and Computational Neural Networks
inferredcites →https://doi.org/10.1021/ac00220a013openalex-snapshot
Development and use of charged partial surface area structural descriptors in computer-assisted quantitative structure-property relationship studies
inferredcites →https://doi.org/10.1021/bk-1979-0112openalex-snapshot
Computer-Assisted Drug Design
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/ci00043a009openalex-snapshot
On molecular identification numbers
inferredcites →https://doi.org/10.1021/ci00046a002openalex-snapshot
Atom pairs as molecular features in structure-activity studies: definition and applications
inferredcites →https://doi.org/10.1021/ci00046a003openalex-snapshot
Computer code for producing Eh-pH plots of equilibrium chemical systems
inferredcites →https://doi.org/10.1021/ci0340658openalex-snapshot
On the Physical Interpretation of QSAR Models
inferredcites →https://doi.org/10.1021/ci034160gopenalex-snapshot
Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling
inferredcites →https://doi.org/10.1021/ci990307lopenalex-snapshot
Prediction of Physicochemical Parameters by Atomic Contributions
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/jm020143ropenalex-snapshot
Identification of Orally Active, Potent, and Selective 4-Piperazinylquinazolines as Antagonists of the Platelet-Derived Growth Factor Receptor Tyrosine Kinase Family
inferredcites →https://doi.org/10.1021/jm9802259openalex-snapshot
2-Substituted Aminopyrido[2,3-d]pyrimidin-7(8H)-ones. Structure−Activity Relationships Against Selected Tyrosine Kinases and in Vitro and in Vivo Anticancer Activity
inferredcites →https://doi.org/10.1021/jm980398yopenalex-snapshot
Synthesis and Tyrosine Kinase Inhibitory Activity of a Series of 2-Amino-8H-pyrido[2,3-d]pyrimidines: Identification of Potent, Selective Platelet-Derived Growth Factor Receptor Tyrosine Kinase Inhibitors
inferredcites →https://doi.org/10.1021/jm980658bopenalex-snapshot
Structure−Activity Relationships for 5-Substituted 1-Phenylbenzimidazoles as Selective Inhibitors of the Platelet-Derived Growth Factor Receptor
inferredcites →https://doi.org/10.1063/1.1699114openalex-snapshot
Equation of State Calculations by Fast Computing Machines
inferredcites →https://doi.org/10.1074/jbc.272.52.33037openalex-snapshot
Functional Importance of Platelet-derived Growth Factor (PDGF) Receptor Extracellular Immunoglobulin-like Domains
inferredcites →https://doi.org/10.1093/emboj/17.20.5896openalex-snapshot
Crystal structure of an angiogenesis inhibitor bound to the FGF receptor tyrosine kinase domain
inferredcites →https://doi.org/10.2307/2530946openalex-snapshot
Classification and Regression Trees.

What points at this work

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

inferred← citeshttps://doi.org/10.1002/chin.200508243openalex-snapshot
Development of Linear, Ensemble, and Nonlinear Models for the Prediction and Interpretation of the Biological Activity of a Set of PDGFR Inhibitors.
inferred← citeshttps://doi.org/10.1002/jcc.22892openalex-snapshot
Highlighting and trying to overcome a serious drawback with qspr studies; data collection in different experimental conditions (mixed‐QSPR)
inferred← citeshttps://doi.org/10.1002/jcc.26154openalex-snapshot
A novel hybrid method named electron conformational genetic algorithm as a 4D QSAR investigation to calculate the biological activity of the tetrahydrodibenzazosines
inferred← citeshttps://doi.org/10.1002/prot.21349openalex-snapshot
Amino acid sequence autocorrelation vectors and bayesian‐regularized genetic neural networks for modeling protein conformational stability: Gene V protein mutants
inferred← citeshttps://doi.org/10.1002/qsar.200860105openalex-snapshot
Classification of Src Kinase Inhibitors Based on Support Vector Machine
inferred← citeshttps://doi.org/10.1002/qsar.200960053openalex-snapshot
Multi‐Objective Feature Selection in QSAR Using a Machine Learning Approach
inferred← citeshttps://doi.org/10.1002/sam.11594openalex-snapshot
Trees, forests, chickens, and eggs: when and why to prune trees in a random forest
inferred← citeshttps://doi.org/10.1007/978-1-62703-059-5_5openalex-snapshot
Classification Models for Safe Drug Molecules
inferred← citeshttps://doi.org/10.1007/978-3-030-16443-0_7openalex-snapshot
A Review of Feature Reduction Methods for QSAR-Based Toxicity Prediction
inferred← citeshttps://doi.org/10.1007/978-3-031-67841-7_5openalex-snapshot
Quantitative Structure-Activity Analysis Using Conceptual DFT and Information Theory-based Descriptors
inferred← citeshttps://doi.org/10.1007/978-3-319-05630-2_1openalex-snapshot
Introduction to Pattern Recognition and Bioinformatics
inferred← citeshttps://doi.org/10.1007/978-3-319-05630-2_4openalex-snapshot
Rough Sets for Selection of Molecular Descriptors to Predict Biological Activity of Molecules
inferred← citeshttps://doi.org/10.1007/978-3-319-08156-4_11openalex-snapshot
Predicting Biological Activity of 2,4,6-trisubstituted 1,3,5-triazines Using Random Forest
inferred← citeshttps://doi.org/10.1007/978-981-16-9221-5_20openalex-snapshot
Drug Response Prediction Using Machine Learning
inferred← citeshttps://doi.org/10.1007/s00044-014-0946-8openalex-snapshot
Structure-based 3D-QSAR studies on quinazoline derivatives as platelets-derived growth factor (PDGFR) inhibitors
inferred← citeshttps://doi.org/10.1007/s10822-008-9195-6openalex-snapshot
Quantitative Series Enrichment Analysis (QSEA): a novel procedure for 3D-QSAR analysis
inferred← citeshttps://doi.org/10.1007/s10822-008-9225-4openalex-snapshot
Considerations and recent advances in QSAR models for cytochrome P450-mediated drug metabolism prediction
inferred← citeshttps://doi.org/10.1007/s10822-008-9240-5openalex-snapshot
On the interpretation and interpretability of quantitative structure–activity relationship models
inferred← citeshttps://doi.org/10.1007/s11094-013-0922-5openalex-snapshot
Collective recognition strategy for estimating hepatoprotector activity of various chemical compounds in increasing liver repair potential
inferred← citeshttps://doi.org/10.1007/s11771-008-0091-yopenalex-snapshot
Relationship between initial efficiency and structure parameters of carbon anode material for Li-ion battery
inferred← citeshttps://doi.org/10.1007/s12039-024-02250-0openalex-snapshot
QSPR models for n-octanol/water partition coefficient and enthalpy of vaporization using CDFT and information theory-based descriptors
inferred← citeshttps://doi.org/10.1016/b0-08-045044-x/00259-5openalex-snapshot
Quantum Mechanical Calculations in Medicinal Chemistry: Relevant Method or a Quantum Leap Too Far?
inferred← citeshttps://doi.org/10.1016/j.bmc.2005.06.067openalex-snapshot
QSAR studies on 1-phenylbenzimidazoles as inhibitors of the platelet-derived growth factor
inferred← citeshttps://doi.org/10.1016/j.bmc.2007.10.024openalex-snapshot
2D Autocorrelation, CoMFA, and CoMSIA modeling of protein tyrosine kinases’ inhibition by substituted pyrido[2,3-d]pyrimidine derivatives
inferred← citeshttps://doi.org/10.1016/j.chemolab.2011.11.011openalex-snapshot
Study of indole derivative inhibitors of Cytosolic phospholipase A2α based on Quantitative Structure Activity Relationship
inferred← citeshttps://doi.org/10.1016/j.chemolab.2015.12.005openalex-snapshot
A novel local manifold-ranking based K-NN for modeling the regression between bioactivity and molecular descriptors
inferred← citeshttps://doi.org/10.1016/j.chemolab.2016.06.011openalex-snapshot
QSPR between molecular structures of polymers and micellar properties based on block unit autocorrelation (BUA) descriptors
inferred← citeshttps://doi.org/10.1016/j.ejmech.2008.07.002openalex-snapshot
Docking, 3D-QSAR studies and in silico ADME prediction on c-Src tyrosine kinase inhibitors
inferred← citeshttps://doi.org/10.1016/j.jmgm.2005.09.014openalex-snapshot
Evaluation of a neural networks QSAR method based on ligand representation using substituent descriptors
inferred← citeshttps://doi.org/10.1016/j.jmgm.2007.04.011openalex-snapshot
Protein radial distribution function (P-RDF) and Bayesian-Regularized Genetic Neural Networks for modeling protein conformational stability: Chymotrypsin inhibitor 2 mutants
inferred← citeshttps://doi.org/10.1016/j.jmgm.2026.109581openalex-snapshot
Interpretable machine learning models for predicting acetylcholinesterase inhibition by ionic liquids
inferred← citeshttps://doi.org/10.1016/j.polymer.2009.11.029openalex-snapshot
Plasmod-PPI: A web-server predicting complex biopolymer targets in plasmodium with entropy measures of protein–protein interactions
inferred← citeshttps://doi.org/10.1016/j.talanta.2010.07.053openalex-snapshot
A random forest of combined features in the classification of cut tobacco based on gas chromatography fingerprinting
inferred← citeshttps://doi.org/10.1021/acs.jcim.4c00243openalex-snapshot
Prediction of Human Liver Microsome Clearance with Chirality-Focused Graph Neural Networks
inferred← citeshttps://doi.org/10.1021/acs.jcim.7b00274openalex-snapshot
Interpretation of Quantitative Structure–Activity Relationship Models: Past, Present, and Future
inferred← citeshttps://doi.org/10.1021/ci0500583openalex-snapshot
Probing the Structural and Electronic Factors Affecting the Adsorption and Reactivity of Alkenes in Acidic Zeolites Using DFT Calculations and Multivariate Statistical Methods
inferred← citeshttps://doi.org/10.1021/ci050375+openalex-snapshot
Ensemble of Linear Models for Predicting Drug Properties
inferred← citeshttps://doi.org/10.1021/ci060064eopenalex-snapshot
Local Lazy Regression: Making Use of the Neighborhood to Improve QSAR Predictions
inferred← citeshttps://doi.org/10.1021/ci200409xopenalex-snapshot
Machine Learning Methods for Property Prediction in Chemoinformatics:Quo Vadis?
inferred← citeshttps://doi.org/10.1021/ci700141xopenalex-snapshot
Chemical Data Mining of the NCI Human Tumor Cell Line Database
inferred← citeshttps://doi.org/10.1021/ci700283sopenalex-snapshot
Statistical Confidence for Variable Selection in QSAR Models via Monte Carlo Cross-Validation
inferred← citeshttps://doi.org/10.1021/ci8001414openalex-snapshot
Assessing How Well a Modeling Protocol Captures a Structure−Activity Landscape
inferred← citeshttps://doi.org/10.1021/cr3004339openalex-snapshot
Descriptor Selection Methods in Quantitative Structure–Activity Relationship Studies: A Review Study
inferred← citeshttps://doi.org/10.1080/14756360600862366openalex-snapshot
Modeling of acetylcholinesterase inhibition by tacrine analogues using Bayesian-regularized Genetic Neural Networks and ensemble averaging
inferred← citeshttps://doi.org/10.1109/bibm.2010.5706643openalex-snapshot
Feature selection for graph kernels
inferred← citeshttps://doi.org/10.1109/bigdata.2013.6691756openalex-snapshot
KUChemBio: A repository of computational chemical biology data sets
inferred← citeshttps://doi.org/10.1109/imsccs.2007.22openalex-snapshot
A genetic weighted k-means algorithm for clustering gene expression data
inferred← citeshttps://doi.org/10.1109/imsccs.2007.89openalex-snapshot
Asymmetric Bagging and Feature Selection for ActivitiesPrediction of Drug Molecules
inferred← citeshttps://doi.org/10.1109/tcbb.2011.31openalex-snapshot
Using Kernel Alignment to Select Features of Molecular Descriptors in a QSAR Study
inferred← citeshttps://doi.org/10.1109/tsmcc.2010.2047943openalex-snapshot
Rough Sets for Selection of Molecular Descriptors to Predict Biological Activity of Molecules
inferred← citeshttps://doi.org/10.1111/j.1747-0285.2006.00435.xopenalex-snapshot
Ensembles of Bayesian‐regularized Genetic Neural Networks for Modeling of Acetylcholinesterase Inhibition by Huprines
inferred← citeshttps://doi.org/10.1162/evco_a_00362openalex-snapshot
Genetic Programming-Based Feature Selection for Symbolic Regression on Incomplete Data
inferred← citeshttps://doi.org/10.1186/1471-2105-8-25openalex-snapshot
Bias in random forest variable importance measures: Illustrations, sources and a solution
inferred← citeshttps://doi.org/10.1186/1471-2105-9-s6-s7openalex-snapshot
Asymmetric bagging and feature selection for activities prediction of drug molecules
inferred← citeshttps://doi.org/10.1186/1752-153x-2-21openalex-snapshot
Simultaneous feature selection and parameter optimisation using an artificial ant colony: case study of melting point prediction
inferred← citeshttps://doi.org/10.1186/1758-2946-2-2openalex-snapshot
Estimation of the applicability domain of kernel-based machine learning models for virtual screening
inferred← citeshttps://doi.org/10.1186/s13321-020-0417-9openalex-snapshot
Comparison and improvement of the predictability and interpretability with ensemble learning models in QSPR applications
inferred← citeshttps://doi.org/10.1198/106186008x344522openalex-snapshot
A Bias Correction Algorithm for the Gini Variable Importance Measure in Classification Trees
inferred← citeshttps://doi.org/10.1208/s12248-013-9541-zopenalex-snapshot
Estimation of Biliary Excretion of Foreign Compounds Using Properties of Molecular Structure
inferred← citeshttps://doi.org/10.1504/ijcbdd.2008.022206openalex-snapshot
Feature selection for the imbalanced QSAR problems by using EasyEnsemble
inferred← citeshttps://doi.org/10.1504/ijdmb.2013.056080openalex-snapshot
Subtree selection in kernels for graph classification
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4091168/v1openalex-snapshot
Comprehensive 4D-QSAR Analysis for Predicting the Biological Activity of Quinazoline: Integrating Electron Conformational and Genetic Algorithm Approaches through a Unified Framework to Uncover Essential Pharmacophoric Features
inferred← citeshttps://doi.org/10.2174/1568026615666150915120814openalex-snapshot
Cheminfomatic-based Drug Discovery of Human Tyrosine Kinase Inhibitors
inferred← citeshttps://doi.org/10.29235/1561-8323-2023-67-5-388-398openalex-snapshot
Predictive model for identifying new CYP19A1 ligands on the KNIME analytical platform
inferred← citeshttps://doi.org/10.3233/ci-2008-0015openalex-snapshot
Improving Usability and Accessibility of Cheminformatics Tools for Chemists through Cyberinfrastructure and Education
inferred← citeshttps://doi.org/10.3233/fi-2010-288openalex-snapshot
Boruta – A System for Feature Selection
inferred← citeshttps://doi.org/10.3233/jcm-130472openalex-snapshot
Computation of models for prediction of blood brain barrier permeability using molecular descriptors
inferred← citeshttps://doi.org/10.3389/fdata.2024.1402384openalex-snapshot
Random kernel k-nearest neighbors regression
inferred← citeshttps://doi.org/10.3797/scipharm.1006-03openalex-snapshot
Models for Antitubercular Activity of 5'-O-[(N-Acyl)sulfamoyl]adenosines
inferred← citeshttps://doi.org/10.3844/jcssp.2009.764.772openalex-snapshot
Unbalance Quantitative Structure Activity Relationship Problem Reduction in Drug Design
inferred← citeshttps://doi.org/10.3906/elk-1102-1033openalex-snapshot
A comparative review of regression ensembles on drug design datasets
inferred← citeshttps://doi.org/10.48550/arxiv.1911.00190openalex-snapshot
Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success
inferred← citeshttps://doi.org/10.48550/arxiv.2003.03629openalex-snapshot
Getting Better from Worse: Augmented Bagging and a Cautionary Tale of Variable Importance
inferred← citeshttps://doi.org/10.6084/m9.figshare.12050823openalex-snapshot
Additional file 1 of Comparison and improvement of the predictability and interpretability with ensemble learning models in QSPR applications
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.