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Comparison between Neural Networks (NN) and Principal Component Analysis (PCA): Structure Activity Relationships of 1,4-Dihydropyridine Calcium Channel Antagonists (Nifedipine Analogues)
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1098-2299(199711/12)42:3/4<120::aid-ddr3>3.0.co;2-sopenalex-snapshot
Novel Hantzsch 1,4-dihydropyridines to study the structure-function relationships of calcium channels and photoinduced relaxation
inferredcites →https://doi.org/10.1002/ddr.4openalex-snapshot
Hantzsch 1,4‐dihydropyridines containing a nitrooxyalkyl ester moiety to study calcium channel antagonist structure–activity relationships and nitric oxide release
inferredcites →https://doi.org/10.1002/jps.2600830809openalex-snapshot
Quantitative Structure-Activity Relationships for 1,4-Dihydropyridine Calcium Channel Antagonists (Nifedipine Analogues): A Quantum ChemicalKlassical Approach
inferredcites →https://doi.org/10.1002/qsar.19880070310openalex-snapshot
13C‐NMR and 1H‐NMR Chemical Shifts in a Correlation Analysis of Benzotriazole Derivatives Active as Plant Growth Regulators
inferredcites →https://doi.org/10.1002/qsar.19940130105openalex-snapshot
Limitations of Functional‐Link Nets as Applied to QSAR Data Analysis
inferredcites →https://doi.org/10.1002/qsar.19970160607openalex-snapshot
On Flexible Fitting Using The Molecular Similarity Index. A neural network analysis for antileishmaniasis compounds
inferredcites →https://doi.org/10.1007/bf00129749openalex-snapshot
Molecular level model for the agonist/antagonist selectivity of the 1,4-dihydropyridine calcium channel receptor
inferredcites →https://doi.org/10.1007/bf00499876openalex-snapshot
Structure-activity studies on nifedipine in isolated cardiac muscle
inferredcites →https://doi.org/10.1016/s0079-6107(98)00026-1openalex-snapshot
Artificial neural networks for computer-based molecular design
inferredcites →https://doi.org/10.1021/ci000072+openalex-snapshot
Comparison of a Neural Net-Based QSAR Algorithm (PCANN) with Hologram- and Multiple Linear Regression-Based QSAR Approaches: Application to 1,4-Dihydropyridine-Based Calcium Channel Antagonists
inferredcites →https://doi.org/10.1021/ci970222popenalex-snapshot
Quantitative Structure−Activity Relationship of Flavonoid p56lck Protein Tyrosine Kinase Inhibitors. A Neural Network Approach
inferredcites →https://doi.org/10.1021/jm00119a009openalex-snapshot
1,4-Dihydropyridine antagonist activities at the calcium channel: a quantitative structure-activity relationship approach
inferredcites →https://doi.org/10.1021/jm00165a005openalex-snapshot
Antioxidant-based inhibitors of leukotriene biosynthesis. The discovery of 6-[1-[2-(hydroxymethyl)phenyl]-1-propen-3-yl]-2,3-dihydro-5-benzofuranol, a potent topical antiinflammatory agent
inferredcites →https://doi.org/10.1021/jm00171a038openalex-snapshot
Cyclization-activated prodrugs. Basic esters of 5-bromo-2'-deoxyuridine
inferredcites →https://doi.org/10.1021/jm980439qopenalex-snapshot
Lipophilic 4-Isoxazolyl-1,4-dihydropyridines: Synthesis and Structure−Activity Relationships
inferredcites →https://doi.org/10.1097/00005344-199106191-00002openalex-snapshot
Calcium-Channel Drugs
inferredcites →https://doi.org/10.1111/j.2042-7158.1986.tb04565.xopenalex-snapshot
QSAR of binding of dihydropyridine-type calcium antagonists to their receptor on ileal smooth muscle preparations
inferredcites →https://doi.org/10.1517/13543776.6.3.239openalex-snapshot
Review Biologicals & Immunologicals: Applications of artificial neural networks to quantitative structure-activity relationships
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.200321209openalex-snapshot
Comparison Between Neutral Networks (NN) and Principal Component Analysis (PCA): Structure—Activity Relationships of 1,4‐Dihydropyridine Calcium Channel Antagonists (Nifedipine Analogues).
inferred← citeshttps://doi.org/10.1002/jcc.20066openalex-snapshot
Application of ab initio theory to QSAR study of 1,4‐dihydropyridine‐based calcium channel blockers using GA‐MLR and PC‐GA‐ANN procedures
inferred← citeshttps://doi.org/10.1002/qsar.200330852openalex-snapshot
Quantum Chemical‐QSAR Study of Some Newly Synthesized 1,4‐Dihydropyridine Calcium Channel Blockers
inferred← citeshttps://doi.org/10.1002/qua.10698openalex-snapshot
Pattern recognition and neural networks applied to structure–activity relationships of neolignans tested against Leishmania amazonensis using quantum chemical and topological descriptors
inferred← citeshttps://doi.org/10.1007/7081_034openalex-snapshot
QSAR Studies on Calcium Channel Blockers
inferred← citeshttps://doi.org/10.1007/s00894-011-1024-5openalex-snapshot
Application of electron conformational–genetic algorithm approach to 1,4-dihydropyridines as calcium channel antagonists: pharmacophore identification and bioactivity prediction
inferred← citeshttps://doi.org/10.1007/s00894-016-3159-xopenalex-snapshot
Reduced density gradient as a novel approach for estimating QSAR descriptors, and its application to 1, 4-dihydropyridine derivatives with potential antihypertensive effects
inferred← citeshttps://doi.org/10.1007/s10822-005-9025-zopenalex-snapshot
Genetic neural network modeling of the selective inhibition of the intermediate-conductance Ca2+-activated K+ channel by some triarylmethanes using topological charge indexes descriptors
inferred← citeshttps://doi.org/10.1016/j.bmc.2005.08.009openalex-snapshot
Modeling of farnesyltransferase inhibition by some thiol and non-thiol peptidomimetic inhibitors using genetic neural networks and RDF approaches
inferred← citeshttps://doi.org/10.1016/j.bmc.2005.12.048openalex-snapshot
2D Autocorrelation modeling of the negative inotropic activity of calcium entry blockers using Bayesian-regularized genetic neural networks
inferred← citeshttps://doi.org/10.1016/j.bmc.2006.03.019openalex-snapshot
QSAR study of 1,4-dihydropyridine calcium channel antagonists based on gene expression programming
inferred← citeshttps://doi.org/10.1016/j.ejmech.2006.03.004openalex-snapshot
QSAR models based on quantum topological molecular similarity
inferred← citeshttps://doi.org/10.1016/j.jmgm.2017.06.012openalex-snapshot
Computational approaches to understand the adverse drug effect on potassium, sodium and calcium channels for predicting TdP cardiac arrhythmias
inferred← citeshttps://doi.org/10.1016/s1380-7323(07)80016-1openalex-snapshot
Chapter 15 A quantitative structure-activity relationship of 1,4-dihydropyridine calcium channel blockers with electronic descriptors produced by quantum chemical topology
inferred← citeshttps://doi.org/10.1016/s1570-7946(07)80187-8openalex-snapshot
QSAR analysis of 1,4-dihydropyridine calcium channel antogonists
inferred← citeshttps://doi.org/10.1021/ie0614327openalex-snapshot
Classification of 1,4-Dihydropyridine Calcium Channel Antagonists Using the Hyperbox Approach
inferred← citeshttps://doi.org/10.1021/mp050027vopenalex-snapshot
QSAR and Classification Study of 1,4-Dihydropyridine Calcium Channel Antagonists Based on Least Squares Support Vector Machines
inferred← citeshttps://doi.org/10.1080/08927022.2013.829220openalex-snapshot
Computer-assisted design of novel 1,4-dihydropyridine calcium channel blockers
inferred← citeshttps://doi.org/10.3390/molecules29153706openalex-snapshot
Establishing the Thermodynamic Cards of Dipine Models’ Oxidative Metabolism on 21 Potential Elementary Steps
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