On the public citation graph
Four-Dimensional Quantitative Structure−Activity Relationship Analysis of a Series of Interphenylene 7-Oxabicycloheptane Oxazole Thromboxane A2 Receptor Antagonists
0 signed · 58 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/anie.199009921openalex-snapshot
Computer Simulation of Molecular Dynamics: Methodology, Applications, and Perspectives in Chemistry
inferredcites →https://doi.org/10.1002/qsar.19930120205openalex-snapshot
The Probability of Chance Correlation Using Partial Least Squares (PLS)
inferredcites →https://doi.org/10.1016/b978-0-12-213810-2.x5000-2openalex-snapshot
Genetic Algorithms in Molecular Modeling
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/ci960047xopenalex-snapshot
GA Strategy for Variable Selection in QSAR Studies: GA-Based PLS Analysis of Calcium Channel Antagonists
inferredcites →https://doi.org/10.1021/ci9601168openalex-snapshot
A QSAR Study of the Antimalarial Activity of Some Synthetic 1,2,4-Trioxanes
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/jm00059a005openalex-snapshot
Modeling of human thromboxane A2 receptor and analysis of the receptor-ligand interaction
inferredcites →https://doi.org/10.1021/jm00062a013openalex-snapshot
Interphenylene 7-oxabicyclo[2.2.1]heptane oxazoles. Highly potent, selective, and long-acting thromboxane A2 receptor antagonists
inferredcites →https://doi.org/10.1021/jm00090a009openalex-snapshot
Synthesis and thromboxane A2/prostaglandin H2 receptor antagonistic activity of phenol derivatives
inferredcites →https://doi.org/10.1021/jm00166a006openalex-snapshot
Computer-aided molecular modeling of a thromboxane receptor antagonist S-145 and its related compounds
inferredcites →https://doi.org/10.1038/349617a0openalex-snapshot
Cloning and expression of cDNA for a human thromboxane A2 receptor
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/1521-3838(200210)21:4<369::aid-qsar369>3.0.co;2-1openalex-snapshot
The 4D-QSAR Paradigm: Application to a Novel Set of Non-peptidic HIV Protease Inhibitors
inferred← citeshttps://doi.org/10.1002/chin.199905249openalex-snapshot
ChemInform Abstract: Four‐Dimensional Quantitative Structure—Activity Relationship Analysis of a Series of Interphenylene 7‐Oxabicycloheptane Oxazole Thromboxane A2 Receptor Antagonists.
inferred← citeshttps://doi.org/10.1002/qsar.200430893openalex-snapshot
4D-QSAR Models of HOE/BAY-793 Analogues as HIV-1 Protease Inhibitors
inferred← citeshttps://doi.org/10.1002/qsar.200530182openalex-snapshot
Application of a Receptor Pruning Methodology to the Enoyl‐ACP Reductase from Escherichia coli (FabI)
inferred← citeshttps://doi.org/10.1007/978-981-16-7857-8_16openalex-snapshot
QSAR—An Important In-Silico Tool in Drug Design and Discovery
inferred← citeshttps://doi.org/10.1007/s00044-014-1072-3openalex-snapshot
Quantitative structure–activity relationship (QSAR) studies as strategic approach in drug discovery
inferred← citeshttps://doi.org/10.1007/s00894-018-3620-0openalex-snapshot
Molecular docking, molecular modeling, and molecular dynamics studies of azaisoflavone as dual COX-2 inhibitors and TP receptor antagonists
inferred← citeshttps://doi.org/10.1007/s10822-005-7927-4openalex-snapshot
Construction of 4D-QSAR Models for Use in the Design of Novel p38-MAPK Inhibitors
inferred← citeshttps://doi.org/10.1016/b0-08-045044-x/00266-2openalex-snapshot
Three-Dimensional Quantitative Structure–Activity Relationship: The State of the Art
inferred← citeshttps://doi.org/10.1016/b978-0-12-374194-3.00029-9openalex-snapshot
3D Quantitative Structure–Property Relationships
inferred← citeshttps://doi.org/10.1016/bs.apcsb.2019.11.008openalex-snapshot
Latest trends in structure based drug design with protein targets
inferred← citeshttps://doi.org/10.1016/j.bmc.2008.10.085openalex-snapshot
Synthesis, antichagasic in vitro evaluation, cytotoxicity assays, molecular modeling and SAR/QSAR studies of a 2-phenyl-3-(1-phenyl-1H-pyrazol-4-yl)-acrylic acid benzylidene-carbohydrazide series
inferred← citeshttps://doi.org/10.1016/j.ejmech.2003.07.003openalex-snapshot
Hydrogen bond interactions of a series of N-substituted TXA2 receptor antagonists
inferred← citeshttps://doi.org/10.1016/j.ejmech.2004.02.004openalex-snapshot
LIV-3D-QSAR models for PGI2 receptor ligands using multiple conformations
inferred← citeshttps://doi.org/10.1016/j.ejmech.2009.05.016openalex-snapshot
3D-QSAR CoMFA/CoMSIA models based on theoretical active conformers of HOE/BAY-793 analogs derived from HIV-1 protease inhibitor complexes
inferred← citeshttps://doi.org/10.1016/s0223-5234(02)01334-xopenalex-snapshot
Local intersection volume: a new 3D descriptor applied to develop a 3D-QSAR pharmacophore model for benzodiazepine receptor ligands
inferred← citeshttps://doi.org/10.1016/s0958-1669(99)00061-0openalex-snapshot
Extraction of pharmacophore information from high-throughput screens
inferred← citeshttps://doi.org/10.1016/s0968-0896(02)00101-3openalex-snapshot
Synthesis and In vitro platelet aggregation and TP receptor binding studies on bicyclic 5,8-Ethanooctahydroisoquinolines and 5,8-Ethanotetrahydroisoquinolines
inferred← citeshttps://doi.org/10.1021/ci0100090openalex-snapshot
Estimation of Molecular Similarity Based on 4D-QSAR Analysis: Formalism and Validation
inferred← citeshttps://doi.org/10.1021/ci010076uopenalex-snapshot
4D-QSAR Analysis of a Set of Ecdysteroids and a Comparison to CoMFA Modeling
inferred← citeshttps://doi.org/10.1021/ci0200321openalex-snapshot
3D-Pharmacophores of Flavonoid Binding at the Benzodiazepine GABAA Receptor Site Using 4D-QSAR Analysis
inferred← citeshttps://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
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1021/ci200055sopenalex-snapshot
Rigorous Treatment of Multispecies Multimode Ligand−Receptor Interactions in 3D-QSAR: CoMFA Analysis of Thyroxine Analogs Binding to Transthyretin
inferred← citeshttps://doi.org/10.1021/ci200409xopenalex-snapshot
Machine Learning Methods for Property Prediction in Chemoinformatics:Quo Vadis?
inferred← citeshttps://doi.org/10.1021/ci400250copenalex-snapshot
Kernel-Based Partial Least Squares: Application to Fingerprint-Based QSAR with Model Visualization
inferred← citeshttps://doi.org/10.1021/ci990032+openalex-snapshot
Construction of a Virtual High Throughput Screen by 4D-QSAR Analysis: Application to a Combinatorial Library of Glucose Inhibitors of Glycogen Phosphorylase b
inferred← citeshttps://doi.org/10.1021/ci9900332openalex-snapshot
Prediction of Ligand−Receptor Binding Free Energy by 4D-QSAR Analysis: Application to a Set of Glucose Analogue Inhibitors of Glycogen Phosphorylase
inferred← citeshttps://doi.org/10.1021/ci990162iopenalex-snapshot
The Characterization of Chemical Structures Using Molecular Properties. A Survey
inferred← citeshttps://doi.org/10.1021/cm000398yopenalex-snapshot
4D-QSPR Analysis and Virtual Screening of Calcite Growth Inhibitor Libraries
inferred← citeshttps://doi.org/10.1023/a:1010924406885openalex-snapshot
Fast Computation of Cross-Validated Properties in Full Linear Leave-Many-Out Procedures
inferred← citeshttps://doi.org/10.1023/a:1013199108020openalex-snapshot
Free energy force field (FEFF) 3D-QSAR analysis of a set of Plasmodium falciparum dihydrofolate reductase inhibitors
inferred← citeshttps://doi.org/10.1088/2632-2153/acefa7openalex-snapshot
Molecular machine learning with conformer ensembles
inferred← citeshttps://doi.org/10.1111/cbdd.12683openalex-snapshot
QSAR Models Guided by Molecular Dynamics Applied to Human Glucokinase Activators
inferred← citeshttps://doi.org/10.1517/17460441.2015.1083006openalex-snapshot
Quantitative structure–activity relationship: promising advances in drug discovery platforms
inferred← citeshttps://doi.org/10.3390/ijms22105212openalex-snapshot
Two Decades of 4D-QSAR: A Dying Art or Staging a Comeback?
inferred← citeshttps://doi.org/10.3390/molecules15053281openalex-snapshot
4D-QSAR: Perspectives in Drug Design
inferred← citeshttps://doi.org/10.3390/molecules17067415openalex-snapshot
Application of 4D-QSAR Studies to a Series of Raloxifene Analogs and Design of Potential Selective Estrogen Receptor Modulators
inferred← citeshttps://doi.org/10.5772/29429openalex-snapshot
Towards Understanding Drugs on the Molecular Level to Design Drugs of Desired Profiles
inferred← citeshttps://doi.org/10.70675/5f9f3534z76cez4c04z8be6z7920d2646fefopenalex-snapshot
Novel Quadruplex ligands : in silico and in vitro approaches
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.