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Consensus Ranking Approach to Understanding the Underlying Mechanism With QSAR

https://doi.org/10.1021/ci100305g
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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/jcc.540100208openalex-snapshot
Optimization of parameters for semiempirical methods I. Method
inferredcites →https://doi.org/10.1002/qsar.200860107openalex-snapshot
Enhanced Replacement Method‐based Quantitative Structure–Activity Relationship Modeling and Support Vector Machine Classification of 4‐Anilino‐3‐quinolinecarbonitriles as Src Kinase Inhibitors
inferredcites →https://doi.org/10.1016/0223-5234(90)90012-ropenalex-snapshot
Comprehensive Medicinal Chemistry
inferredcites →https://doi.org/10.1016/j.aca.2008.10.026openalex-snapshot
Validated quantitative structure–activity relationship analysis of a series of 2-aminothiazole based p56Lck inhibitors
inferredcites →https://doi.org/10.1016/j.bmc.2008.06.004openalex-snapshot
QSAR prediction of inhibition of aldose reductase for flavonoids
inferredcites →https://doi.org/10.1016/j.bmcl.2007.01.002openalex-snapshot
New C-5 substituted pyrrolotriazine dual inhibitors of EGFR and HER2 protein tyrosine kinases
inferredcites →https://doi.org/10.1016/j.bmcl.2007.02.050openalex-snapshot
Novel C-5 aminomethyl pyrrolotriazine dual inhibitors of EGFR and HER2 protein tyrosine kinases
inferredcites →https://doi.org/10.1016/j.bmcl.2007.06.019openalex-snapshot
5-((4-Aminopiperidin-1-yl)methyl)pyrrolotriazine dual inhibitors of EGFR and HER2 protein tyrosine kinases
inferredcites →https://doi.org/10.1016/j.bmcl.2007.12.035openalex-snapshot
Novel 3-alkoxy-1H-pyrazolo[3,4-d]pyrimidines as EGFR and erbB2 receptor tyrosine kinase inhibitors
inferredcites →https://doi.org/10.1016/j.chemolab.2008.02.005openalex-snapshot
Modified and enhanced replacement method for the selection of molecular descriptors in QSAR and QSPR theories
inferredcites →https://doi.org/10.1016/j.dental.2009.11.158openalex-snapshot
QSAR models to predict mutagenicity of acrylates, methacrylates and α , β -unsaturated carbonyl compounds
inferredcites →https://doi.org/10.1016/j.ejmech.2007.11.009openalex-snapshot
QSAR modeling of the interaction of flavonoids with GABA(A) receptor
inferredcites →https://doi.org/10.1016/j.ejmech.2008.01.020openalex-snapshot
QSAR study about ATP-sensitive potassium channel activation of cromakalim analogues using CP-MLR approach
inferredcites →https://doi.org/10.1016/j.ejmech.2009.11.019openalex-snapshot
Modeling the antileishmanial activity screening of 5-nitro-2-heterocyclic benzylidene hydrazides using different chemometrics methods
inferredcites →https://doi.org/10.1021/ci060087topenalex-snapshot
Genetic Algorithm-Optimized QSPR Models for Bioavailability, Protein Binding, and Urinary Excretion
inferredcites →https://doi.org/10.1021/ci700443vopenalex-snapshot
Combinatorial QSAR Modeling of Chemical Toxicants Tested against Tetrahymena pyriformis
inferredcites →https://doi.org/10.1021/jm070027uopenalex-snapshot
Dihydroxypyrimidine-4-carboxamides as Novel Potent and Selective HIV Integrase Inhibitors
inferredcites →https://doi.org/10.1021/jm0704705openalex-snapshot
Discovery and Synthesis of HIV Integrase Inhibitors: Development of Potent and Orally Bioavailable N-Methyl Pyrimidones
inferredcites →https://doi.org/10.1021/jm701164topenalex-snapshot
Design and Synthesis of Bicyclic Pyrimidinones as Potent and Orally Bioavailable HIV-1 Integrase Inhibitors
inferredcites →https://doi.org/10.1039/cs9952400279openalex-snapshot
QSPR: the correlation and quantitative prediction of chemical and physical properties from structure
inferredcites →https://doi.org/10.1080/10590500802135578openalex-snapshot
Directions in QSAR Modeling for Regulatory Uses in OECD Member Countries, EU and in Russia
inferredcites →https://doi.org/10.1093/bioinformatics/bth469openalex-snapshot
Outcome signature genes in breast cancer: is there a unique set?
inferredcites →https://doi.org/10.1093/bioinformatics/btp630openalex-snapshot
Robust biomarker identification for cancer diagnosis with ensemble feature selection methods
inferredcites →https://doi.org/10.1093/nar/gkg763openalex-snapshot
Evaluation of gene expression measurements from commercial microarray platforms
inferredcites →https://doi.org/10.1111/j.1747-0285.2009.00814.xopenalex-snapshot
Quantitative Structure–Activity Relationship and Classification Analysis of Diaryl Ureas Against Vascular Endothelial Growth Factor Receptor‐2 Kinase Using Linear and Non‐Linear Models
inferredcites →https://doi.org/10.1246/bcsj.20090213openalex-snapshot
Prediction of Log(IGC50)−1 for Benzene Derivatives to Ciliate Tetrahymena pyriformis from Their Molecular Descriptors
inferredcites →https://doi.org/10.1351/pac199769020245openalex-snapshot
QSPR as a means of predicting and understanding chemical and physical properties in terms of structure
inferredcites →https://doi.org/10.1517/17460441003782277openalex-snapshot
Fragment-based QSAR strategies in drug design
inferredcites →https://doi.org/10.2174/157340908784533238openalex-snapshot
Variable Selection in QSAR Models for Drug Design
inferredcites →https://doi.org/10.5860/choice.28-0971openalex-snapshot
Comprehensive medicinal chemistry: the rational design, mechanistic study & therapeutic application of chemical compounds

What points at this work

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

inferred← citeshttps://doi.org/10.1002/minf.201200086openalex-snapshot
Determination of the Potential of Drug Candidates to Cause Severe Skin Disorders Using Computational Modeling
inferred← citeshttps://doi.org/10.1007/978-1-61779-965-5_9openalex-snapshot
Predictive Cheminformatics in Drug Discovery: Statistical Modeling for Analysis of Micro-array and Gene Expression Data
inferred← citeshttps://doi.org/10.1007/s11030-012-9415-9openalex-snapshot
Reliably assessing prediction reliability for high dimensional QSAR data
inferred← citeshttps://doi.org/10.1016/j.chemolab.2015.10.007openalex-snapshot
Enhanced replacement method integration with genetic algorithms populations in QSAR and QSPR theories
inferred← citeshttps://doi.org/10.1016/j.taap.2015.07.008openalex-snapshot
Exploring possible mechanisms of action for the nanotoxicity and protein binding of decorated nanotubes: interpretation of physicochemical properties from optimal QSAR models
inferred← citeshttps://doi.org/10.1021/ci2000488openalex-snapshot
RS-Predictor: A New Tool for Predicting Sites of Cytochrome P450-Mediated Metabolism Applied to CYP 3A4
inferred← citeshttps://doi.org/10.1021/ci200079bopenalex-snapshot
Advances in the Replacement and Enhanced Replacement Method in QSAR and QSPR Theories
inferred← citeshttps://doi.org/10.1021/ci200123yopenalex-snapshot
Statistical Analysis and Compound Selection of Combinatorial Libraries for Soluble Epoxide Hydrolase
inferred← citeshttps://doi.org/10.1021/ci400281yopenalex-snapshot
Localized Heuristic Inverse Quantitative Structure Activity Relationship with Bulk Descriptors Using Numerical Gradients
inferred← citeshttps://doi.org/10.1021/mp100423uopenalex-snapshot
Why QSAR Fails: An Empirical Evaluation Using Conventional Computational Approach
inferred← citeshttps://doi.org/10.1080/1062936x.2012.657678openalex-snapshot
QSTR modelling of the acute toxicity of pharmaceuticals to fish
inferred← citeshttps://doi.org/10.1080/1062936x.2019.1644666openalex-snapshot
Rivality index neighbourhood algorithm with density and distances weighted schemes for the building of robust QSAR classification models with high reliable applicability domain
inferred← citeshttps://doi.org/10.1109/cibcb.2012.6217246openalex-snapshot
GPU-accelerated machine learning techniques enable QSAR modeling of large HTS data
inferred← citeshttps://doi.org/10.1186/s13321-015-0052-zopenalex-snapshot
When drug discovery meets web search: Learning to Rank for ligand-based virtual screening
inferred← citeshttps://doi.org/10.3390/molecules18010735openalex-snapshot
Benchmarking Ligand-Based Virtual High-Throughput Screening with the PubChem Database
inferred← citeshttps://doi.org/10.3390/molecules180910789openalex-snapshot
Enhanced QSAR Model Performance by Integrating Structural and Gene Expression Information
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