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Development of Neural Network QSPR Models for Hansch Substituent Constants. 2. Applications in QSAR Studies of HIV-1 Reverse Transcriptase and Dihydrofolate Reductase Inhibitors

https://doi.org/10.1021/ci030294i
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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/qsar.19970160104openalex-snapshot
Quantitative Structure‐Activity Relationship Studies on Some Acyclouridine Derivatives Acting as Anti‐HIV‐1 Drugs
inferredcites →https://doi.org/10.1002/qsar.19970160305openalex-snapshot
Nonlinear CoMFA using QPLS as a Novel 3D‐QSAR Approach
inferredcites →https://doi.org/10.1016/0223-5234(94)90030-2openalex-snapshot
Shape similarity as a single independent variable in QSAR
inferredcites →https://doi.org/10.1016/s0303-2647(01)00192-7openalex-snapshot
Quantitative structure–activity relationships by evolved neural networks for the inhibition of dihydrofolate reductase by pyrimidines
inferredcites →https://doi.org/10.1016/s0960-894x(00)80640-xopenalex-snapshot
QSAR of HIV inhibitors
inferredcites →https://doi.org/10.1016/s1093-3263(98)00012-6openalex-snapshot
World Wide Web-based system for the calculation of substituent parameters and substituent similarity searches
inferredcites →https://doi.org/10.1021/ci0001278openalex-snapshot
3D-Quantitative Structure−Activity Relationships of HEPT Derivatives as HIV-1 Reverse Transcriptase Inhibitors, Based on Ab Initio Calculations
inferredcites →https://doi.org/10.1021/ci0255782openalex-snapshot
Cheminformatics Analysis of Organic Substituents: Identification of the Most Common Substituents, Calculation of Substituent Properties, and Automatic Identification of Drug-like Bioisosteric Groups
inferredcites →https://doi.org/10.1021/jm000226copenalex-snapshot
Adaptive Neuro-Fuzzy Inference System: An Instant and Architecture-Free Predictor for Improved QSAR Studies
inferredcites →https://doi.org/10.1021/jm00105a009openalex-snapshot
Stereoselective reactions. XVII. Absolute structure-cytotoxic activity relationships of steganacin congeners and analogs
inferredcites →https://doi.org/10.1021/jm00113a022openalex-snapshot
Applications of neural networks in quantitative structure-activity relationships of dihydrofolate reductase inhibitors
inferredcites →https://doi.org/10.1021/jm00137a013openalex-snapshot
Inhibition of bovine and rat liver dihydrofolate reductase by 4,6-diamino-1,2-dihydro-2,2-dimethyl-1-(4-substituted-phenyl)-s-triazines
inferredcites →https://doi.org/10.1021/jm00185a012openalex-snapshot
Structure-activity relationship in a series of newly synthesized 1-amino-substituted ellipticine derivatives
inferredcites →https://doi.org/10.1021/jm00349a003openalex-snapshot
Comparison of the inhibition of Escherichia coli and Lactobacillus casei dihydrofolate reductase by 2,4-diamino-5-(substituted-benzyl)pyrimidines: quantitative structure-activity relationships, x-ray crystallography, and computer graphics in structure-activity analysis
inferredcites →https://doi.org/10.1021/jm970110popenalex-snapshot
A 3D QSAR Study of a Series of HEPT Analogues: The Influence of Conformational Mobility on HIV-1 Reverse Transcriptase Inhibition
inferredcites →https://doi.org/10.1023/a:1020280627193openalex-snapshot
HEPT derivatives as non-nucleoside inhibitors of HIV-1 reverse transcriptase: QSAR studies agree with the crystal structures
inferredcites →https://doi.org/10.1080/1062936021000020035openalex-snapshot
QSAR for anti-HIV activity of HEPT derivatives

What points at this work

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

inferred← citeshttps://doi.org/10.1002/9783527645121.ch3openalex-snapshot
Mold2Molecular Descriptors for QSAR
inferred← citeshttps://doi.org/10.1002/chin.200417224openalex-snapshot
Development of Neural Network QSPR Models for Hansch Substituent Constants. Part 2. Applications in QSAR Studies of HIV‐1 Reverse Transcriptase and Dihydrofolate Reductase Inhibitors.
inferred← citeshttps://doi.org/10.1002/qsar.200710076openalex-snapshot
Three‐Dimensional Holographic Vector of Atomic Interaction Field Applied in QSAR of Anti‐HIV HEPT Analogues
inferred← citeshttps://doi.org/10.1007/978-1-4939-3609-0_18openalex-snapshot
QSAR Models at the US FDA/NCTR
inferred← citeshttps://doi.org/10.1007/978-1-60327-101-1_8openalex-snapshot
Neural Networks in Building QSAR Models
inferred← citeshttps://doi.org/10.1007/978-3-0346-0480-2openalex-snapshot
Treatment and Prevention of Malaria
inferred← citeshttps://doi.org/10.1007/978-3-0346-0480-2_6openalex-snapshot
Antifolates: Pyrimethamine, Proguanil, Sulphadoxine and Dapsone
inferred← citeshttps://doi.org/10.1007/s00894-021-04818-wopenalex-snapshot
Insights on a new sulfonamide chalcone with potential antineoplastic application
inferred← citeshttps://doi.org/10.1007/s10822-007-9152-9openalex-snapshot
Modeling the inhibition of quadruple mutant Plasmodium falciparum dihydrofolate reductase by pyrimethamine derivatives
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/s13738-011-0021-zopenalex-snapshot
QSAR study of dihydrofolate reductase inhibitors activities based on optimization of correlation weights of local graph invariants
inferred← citeshttps://doi.org/10.1016/j.biosystems.2007.10.005openalex-snapshot
QSAR using evolved neural networks for the inhibition of mutant PfDHFR by pyrimethamine derivatives
inferred← citeshttps://doi.org/10.1016/j.bmcl.2006.03.019openalex-snapshot
Quantitative structure–activity relationship studies on HEPTs by supervised stochastic resonance
inferred← citeshttps://doi.org/10.1016/j.chemolab.2006.01.009openalex-snapshot
QSAR study of anti-HIV HEPT analogues based on multi-objective genetic programming and counter-propagation neural network
inferred← citeshttps://doi.org/10.1016/j.chemolab.2009.07.011openalex-snapshot
Application of data mining to quantitative structure-activity relationship using rough set theory
inferred← citeshttps://doi.org/10.1016/j.ejmech.2005.10.017openalex-snapshot
QSAR study of 4-phenylpiperidine derivatives as μ opioid agonists by neural network method
inferred← citeshttps://doi.org/10.1016/j.jmgm.2007.10.006openalex-snapshot
In silico screening against wild-type and mutant Plasmodium falciparum dihydrofolate reductase
inferred← citeshttps://doi.org/10.1016/s1734-1140(12)70873-3openalex-snapshot
Prediction of enzyme activity with neural network models based on electronic and geometrical features of substrates
inferred← citeshttps://doi.org/10.1021/cr900238dopenalex-snapshot
Quantitative Correlation of Physical and Chemical Properties with Chemical Structure: Utility for Prediction
inferred← citeshttps://doi.org/10.1080/08893110701337727openalex-snapshot
Structural characteristics of antifolate dihydrofolate reductase enzyme interactions
inferred← citeshttps://doi.org/10.1109/cibcb.2012.6217220openalex-snapshot
Towards predictive structure-based models of evolved drug resistance
inferred← citeshttps://doi.org/10.1111/cbdd.13511openalex-snapshot
Inhibition activity prediction for a dataset of candidates’ drug by combining fuzzy logic with MLR / ANN QSAR models
inferred← citeshttps://doi.org/10.1111/j.1747-0285.2011.01162.xopenalex-snapshot
3D‐QSAR and Docking Studies on the HEPT Derivatives of HIV‐1 Reverse Transcriptase
inferred← citeshttps://doi.org/10.1134/s0006297917130107openalex-snapshot
Novel HIV-1 non-nucleoside reverse transcriptase inhibitors: A combinatorial approach
inferred← citeshttps://doi.org/10.2751/jcac.9.1openalex-snapshot
Application of Rule Mining to Quantative Structure-Activity Relationship Using Rough Set Theory
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