On the public citation graph
The comparison of geometric and electronic properties of molecular surfaces by neural networks: Application to the analysis of corticosteroid-binding globulin activity of steroids
0 signed · 107 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known work and none has been retracted — and get a dated CiteStamped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/ange.19850970818openalex-snapshot
Berechnung der Ladungsverteilung in konjugierten Systemen durch eine Quantifizierung des Mesomeriekonzeptes
inferredcites →https://doi.org/10.1002/ange.19931050405openalex-snapshot
Neuronale Netze in der Chemie
inferredcites →https://doi.org/10.1002/ange.19941060610openalex-snapshot
Abbildung elektrostatischer Potentiale muscarinischer und nicotinischer Agonisten mit künstlichen neuronalen Netzen
inferredcites →https://doi.org/10.1002/anie.198506871openalex-snapshot
Calculation of the Charge Distribution in Conjugated Systems by a Quantification of the Resonance Concept
inferredcites →https://doi.org/10.1002/anie.199406431openalex-snapshot
Mapping the Electrostatic Potential of Muscarinic and Nicotinic Agonists with Artificial Neural Networks
inferredcites →https://doi.org/10.1007/978-3-642-88163-3openalex-snapshot
Self-Organization and Associative Memory
inferredcites →https://doi.org/10.1007/bf00200832openalex-snapshot
On the topology distortion in self-organizing feature maps
inferredcites →https://doi.org/10.1007/bf00337288openalex-snapshot
Self-organized formation of topologically correct feature maps
inferredcites →https://doi.org/10.1016/0003-2670(92)85029-6openalex-snapshot
The generation of 3D models of host-guest complexes
inferredcites →https://doi.org/10.1016/0040-4020(80)80168-2openalex-snapshot
Iterative partial equalization of orbital electronegativity—a rapid access to atomic charges
inferredcites →https://doi.org/10.1016/0263-7855(94)80073-1openalex-snapshot
The beauty of molecular surfaces as revealed by self-organizing neural networks
inferredcites →https://doi.org/10.1016/s0003-2670(00)80865-xopenalex-snapshot
Neural networks: A new method for solving chemical problems or just a passing phase?
inferredcites →https://doi.org/10.1021/bi00524a047openalex-snapshot
Steroid-protein interactions. Human corticosteroid binding globulin: some physicochemical properties and binding specificity
inferredcites →https://doi.org/10.1021/ci00020a039openalex-snapshot
Comparison of Automatic Three-Dimensional Model Builders Using 639 X-ray Structures
inferredcites →https://doi.org/10.1021/cr00023a012openalex-snapshot
From atoms and bonds to three-dimensional atomic coordinates: automatic model builders
inferredcites →https://doi.org/10.1021/ja00090a009openalex-snapshot
Representation of Molecular Electrostatic Potentials by Topological Feature Maps
inferredcites →https://doi.org/10.1021/ja00134a023openalex-snapshot
Autocorrelation of Molecular Surface Properties for Modeling Corticosteroid Binding Globulin and Cytosolic Ah Receptor Activity by Neural Networks
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/jm00041a010openalex-snapshot
Compass: Predicting Biological Activities from Molecular Surface Properties. Performance Comparisons on a Steroid Benchmark
inferredcites →https://doi.org/10.1021/jm00056a002openalex-snapshot
Structure-activity relationships from molecular similarity matrices
inferredcites →https://doi.org/10.1210/jcem-53-1-58openalex-snapshot
Transport of Steroid Hormones: Binding of 21 Endogenous Steroids to Both Testosterone-Binding Globulin and Corticosteroid-Binding Globulin in Human Plasma
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/0470845015.cna013openalex-snapshot
Structure–Activity Relationships in Modeling Nucleic Acid Ligand Interactions
inferred← citeshttps://doi.org/10.1002/0471266949.bmc192openalex-snapshot
Anti‐Inflammatory Glucocorticoids
inferred← citeshttps://doi.org/10.1002/0471266949.bmc192.pub2openalex-snapshot
Anti‐Inflammatory Glucocorticoids
inferred← citeshttps://doi.org/10.1002/9783527614141.ch07openalex-snapshot
Computer‐Assisted Library Design
inferred← citeshttps://doi.org/10.1002/9783527618279.ch38openalex-snapshot
A Hierarchy of Structure Representations
inferred← citeshttps://doi.org/10.1002/cem.1056openalex-snapshot
An alignment‐free methodology for modelling field‐based 3D‐structure activity relationships using inductive logic programming
inferred← citeshttps://doi.org/10.1002/cmdc.200600147openalex-snapshot
Predicting Compound Selectivity by Self‐Organizing Maps: Cross‐Activities of Metabotropic Glutamate Receptor Antagonists
inferred← citeshttps://doi.org/10.1002/ddr.20417openalex-snapshot
Mapping drug architecture by MoStBioDat: rapid screening of intramolecular hydrogen bonded motifs in catechols
inferred← citeshttps://doi.org/10.1002/jcc.10361openalex-snapshot
Pattern recognition strategies for molecular surfaces: III. Binding site prediction with a neural network
inferred← citeshttps://doi.org/10.1002/minf.201000019openalex-snapshot
Bioisosteric Replacement and Scaffold Hopping in Lead Generation and Optimization
inferred← citeshttps://doi.org/10.1002/minf.201100161openalex-snapshot
A New Method for Mapping the Molecular Surface of a Protein Structure Using a Spherical Self‐Organizing Map
inferred← citeshttps://doi.org/10.1007/0-306-46857-3_15openalex-snapshot
The Use of Self-organizing Neural Networks in Drug Design
inferred← citeshttps://doi.org/10.1007/0-306-46858-1_13openalex-snapshot
The CoMFA Steroids as a Benchmark Dataset for Development of 3D QSAR Methods
inferred← citeshttps://doi.org/10.1007/0-306-46858-1_2openalex-snapshot
Recent Progress in CoMFA Methodology and Related Techniques
inferred← citeshttps://doi.org/10.1007/978-0-387-30440-3_440openalex-snapshot
Quantum Similarity and Quantum Quantitative Structure-Properties Relationships (QQSPR)
inferred← citeshttps://doi.org/10.1007/978-1-4615-4141-7_18openalex-snapshot
3D Structure Descriptors for Biological Activity
inferred← citeshttps://doi.org/10.1007/978-1-4757-3273-3_13openalex-snapshot
Self-Organizing Molecular Field Analysis (SOMFA): A Tool for Structure-Activity Studies
inferred← citeshttps://doi.org/10.1007/978-1-4939-7899-1_5openalex-snapshot
Machine Learning Methods in Computational Toxicology
inferred← citeshttps://doi.org/10.1007/978-1-60761-274-2_2openalex-snapshot
Compound Library Design for Target Families
inferred← citeshttps://doi.org/10.1007/bf03380186openalex-snapshot
Challenges and prospects for computational aids to molecular diversity
inferred← citeshttps://doi.org/10.1007/bfb0033215openalex-snapshot
A systematic approach to finding new lead structures having biological activity
inferred← citeshttps://doi.org/10.1007/s00894-006-0140-0openalex-snapshot
SOMMER: self-organising maps for education and research
inferred← citeshttps://doi.org/10.1007/s11094-006-0075-xopenalex-snapshot
Design and synthesis of new nonpeptide caspase-3 inhibitors
inferred← citeshttps://doi.org/10.1016/b978-0-12-374194-3.00023-8openalex-snapshot
Quantitative Approaches to Structure–Activity Relationships
inferred← citeshttps://doi.org/10.1016/b978-012744481-9/50026-xopenalex-snapshot
QUANTITATIVE APPROACHES TO STRUCTURE–ACTIVITY RELATIONSHIPS
inferred← citeshttps://doi.org/10.1016/j.bmc.2012.03.041openalex-snapshot
New description of protein–ligand interactions using a spherical self-organizing map
inferred← citeshttps://doi.org/10.1016/j.cag.2021.06.007openalex-snapshot
Analyzing the similarity of protein domains by clustering Molecular Surface Maps
inferred← citeshttps://doi.org/10.1016/j.dyepig.2003.11.003openalex-snapshot
Mapping dye pharmacophores by the Comparative Molecular Surface Analysis (CoMSA): application to heterocyclic monoazo dyes
inferred← citeshttps://doi.org/10.1016/j.jmgm.2004.03.003openalex-snapshot
Generation of QSAR sets with a self-organizing map
inferred← citeshttps://doi.org/10.1016/j.jmgm.2007.03.005openalex-snapshot
Volume learning algorithm significantly improved PLS model for predicting the estrogenic activity of xenoestrogens
inferred← citeshttps://doi.org/10.1016/j.steroids.2006.01.001openalex-snapshot
Three-dimensional models of non-steroidal ligands: A comparative molecular field analysis
inferred← citeshttps://doi.org/10.1016/s0097-8485(00)00064-4openalex-snapshot
The comparative molecular surface analysis (COMSA): a novel tool for molecular design
inferred← citeshttps://doi.org/10.1016/s0097-8485(02)00023-2openalex-snapshot
New molecular surface-based 3D-QSAR method using Kohonen neural network and 3-way PLS
inferred← citeshttps://doi.org/10.1016/s0166-1280(02)00578-xopenalex-snapshot
Structure–activity relationship (SAR) studies of the tripos benchmark steroids
inferred← citeshttps://doi.org/10.1016/s0166-1280(02)00623-1openalex-snapshot
QSAR models in receptor-mediated effects: the nuclear receptor superfamily
inferred← citeshttps://doi.org/10.1016/s0169-409x(03)00116-9openalex-snapshot
Self-organizing neural networks for pharmacophore mapping
inferred← citeshttps://doi.org/10.1016/s0169-7439(03)00112-6openalex-snapshot
3D-QSAR study of antifungal N-myristoyltransferase inhibitors by comparative molecular surface analysis
inferred← citeshttps://doi.org/10.1016/s0223-5234(99)80052-xopenalex-snapshot
Neural networks in drug discovery: have they lived up to their promise?
inferred← citeshttps://doi.org/10.1016/s0263-7855(96)00060-4openalex-snapshot
Comparison of structurally different allosteric modulators of muscarinic receptors by self-organizing neural networks
inferred← citeshttps://doi.org/10.1016/s0922-3487(98)80054-3openalex-snapshot
Artificial Neural Networks
inferred← citeshttps://doi.org/10.1016/s0960-894x(97)10150-0openalex-snapshot
1. Endothelin antagonists: Search for surrogates of methylendioxyphenyl by means of a kohonen neural network
inferred← citeshttps://doi.org/10.1016/s1476-9271(02)00101-9openalex-snapshot
Multi-way PLS modeling of structure–activity data by incorporating electrostatic and lipophilic potentials on molecular surface
inferred← citeshttps://doi.org/10.1021/ci000160uopenalex-snapshot
Identification of Active Molecular Sites Using Quantum-Self-Similarity Measures
inferred← citeshttps://doi.org/10.1021/ci010031topenalex-snapshot
The Comparative Molecular Surface Analysis (COMSA) − A Nongrid 3D QSAR Method by a Coupled Neural Network and PLS System: Predicting pKa Values of Benzoic and Alkanoic Acids
inferred← citeshttps://doi.org/10.1021/ci020038qopenalex-snapshot
The Comparative Molecular Surface Analysis (CoMSA) with Modified Uniformative Variable Elimination-PLS (UVE-PLS) Method: Application to the Steroids Binding the Aromatase Enzyme
inferred← citeshttps://doi.org/10.1021/ci020296nopenalex-snapshot
QSAR Modeling of α-Campholenic Derivatives with Sandalwood Odor
inferred← citeshttps://doi.org/10.1021/ci0340761openalex-snapshot
Comparative Molecular Surface Analysis (CoMSA) for Modeling Dye−Fiber Affinities of the Azo and Anthraquinone Dyes
inferred← citeshttps://doi.org/10.1021/ci034118lopenalex-snapshot
Modeling Steric and Electronic Effects in 3D- and 4D-QSAR Schemes: Predicting Benzoic pKa Values and Steroid CBG Binding Affinities
inferred← citeshttps://doi.org/10.1021/ci400324uopenalex-snapshot
Noncontiguous Atom Matching Structural Similarity Function
inferred← citeshttps://doi.org/10.1021/ci700025mopenalex-snapshot
Modeling Robust QSAR 3: SOM-4D-QSAR with Iterative Variable Elimination IVE-PLS: Application to Steroid, Azo Dye, and Benzoic Acid Series
inferred← citeshttps://doi.org/10.1021/ci7003626openalex-snapshot
Maximum Common Binding Modes (MCBM): Consensus Docking Scoring Using Multiple Ligand Information and Interaction Fingerprints
inferred← citeshttps://doi.org/10.1021/ci980410vopenalex-snapshot
Three-Dimensional Quantitative Structure−Activity Relationships from Tuned Molecular Quantum Similarity Measures: Prediction of the Corticosteroid-Binding Globulin Binding Affinity for a Steroid Family
inferred← citeshttps://doi.org/10.1021/cn9000389openalex-snapshot
Identification of Metabotropic Glutamate Receptor Subtype 5 Potentiators Using Virtual High-Throughput Screening
inferred← citeshttps://doi.org/10.1021/jm000941mopenalex-snapshot
GRid-INdependent Descriptors (GRIND): A Novel Class of Alignment-Independent Three-Dimensional Molecular Descriptors
inferred← citeshttps://doi.org/10.1021/jm010858eopenalex-snapshot
Volume Learning Algorithm Artificial Neural Networks for 3D QSAR Studies
inferred← citeshttps://doi.org/10.1021/jm020845gopenalex-snapshot
Use of the Kohonen Neural Network for Rapid Screening of Ex Vivo Anti-HIV Activity of Styrylquinolines
inferred← citeshttps://doi.org/10.1021/jm030102aopenalex-snapshot
Modeling of Human Cytochrome P450-Mediated Drug Metabolism Using Unsupervised Machine Learning Approach
inferred← citeshttps://doi.org/10.1021/jm9810607openalex-snapshot
Self-Organizing Molecular Field Analysis: A Tool for Structure−Activity Studies
inferred← citeshttps://doi.org/10.1023/a:1008012732081openalex-snapshot
Evaluation of a novel molecular vibration-based descriptor (EVA) for QSAR studies: 2. Model validation using a benchmark steroid dataset
inferred← citeshttps://doi.org/10.1023/a:1008039618288openalex-snapshot
Facet diagrams for quantum similarity data
inferred← citeshttps://doi.org/10.1023/a:1008188322239openalex-snapshot
Steroid binding by antibodies and artificial receptors: Exploration of theoretical methods to determine the origins of binding affinities and specificities
inferred← citeshttps://doi.org/10.1023/a:1017050508855openalex-snapshot
The CoMFA steroids as a benchmark dataset for development of 3D QSAR methods
inferred← citeshttps://doi.org/10.1023/a:1017057332537openalex-snapshot
Recent progress in CoMFA methodology and related techniques
inferred← citeshttps://doi.org/10.1023/a:1027276425268openalex-snapshot
The use of self-organizing neural networks in drug design
inferred← citeshttps://doi.org/10.1023/b:jcam.0000017375.61558.adopenalex-snapshot
Comparison of correlation vector methods for ligand-based similarity searching
inferred← citeshttps://doi.org/10.1023/b:modi.0000006536.02970.f0openalex-snapshot
Comparative molecular surface analysis: A novel tool for drug design and molecular diversity studies
inferred← citeshttps://doi.org/10.1080/10629360008033234openalex-snapshot
The Non-Grid Technique for Modeling 3D QSAR Using Self-Organizing Neural Network (SOM) and PLS Analysis: Application to Steroids and Colchicinoids
inferred← citeshttps://doi.org/10.1145/2801040.2801045openalex-snapshot
On the Utility of Large High-Resolution Displays for Comparative Scientific Visualisation
inferred← citeshttps://doi.org/10.1186/1758-2946-6-23openalex-snapshot
A rotation-translation invariant molecular descriptor of partial charges and its use in ligand-based virtual screening
inferred← citeshttps://doi.org/10.1517/13543776.8.3.249openalex-snapshot
Applications of soft computing in drug design
inferred← citeshttps://doi.org/10.1517/17460441.1.7.693openalex-snapshot
Drug design using comparative molecular surface analysis
inferred← citeshttps://doi.org/10.18388/abp.2000_4060openalex-snapshot
Self-organizing neural network for modeling 3D QSAR of colchicinoids.
inferred← citeshttps://doi.org/10.2751/jcac.1.22openalex-snapshot
Development of new 3D-QSAR method by Kohonen network and 3wayPLS analysis.
inferred← citeshttps://doi.org/10.2751/jcac.4.18openalex-snapshot
Multi-way PLS Modeling of Structure-Activity Data by Incorporating Electrostatic and Lipophilic Potentials on Molecular Surface
inferred← citeshttps://doi.org/10.3390/ijms23052797openalex-snapshot
Unsupervised Learning in Drug Design from Self-Organization to Deep Chemistry
inferred← citeshttps://doi.org/10.4018/ijqspr.2019070101openalex-snapshot
Significance of Molecular Surfaces and Different Visualization Tools in Drug Designing
inferred← citeshttps://doi.org/10.4155/fmc.09.11openalex-snapshot
Self-Organizing Molecular Fingerprints: A Ligand-Based View on Drug-Like Chemical Space and Off-Target Prediction
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.