E-state fields: Applications to 3D QSAR
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Summary
The derivation of a new 3D QSAR field based on the electrotopological state (E-state) formalism is described, and a complementary index and its associated field, the HE-state, describing the polarity of hydrogens is defined.
- Type
- article
- Published
- 1996-12-01
- Cited by
- 88
- References
- 8
- OpenAlex
- https://openalex.org/W1998351517
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:11703531
Keywords
Quantitative structure–activity relationship, State (computer science), Computer science, Machine learning, Algorithm
References
- HINT: A new method of empirical hydrophobic field calculation for CoMFA
- The electrotopological state: structure information at the atomic level for molecular graphs
- Derivation and significance of valence molecular connectivity.
- Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins.
- Comparison of electrotopological state indexes with molecular orbital parameters : inhibition of MAO by hydrazides
- Electronegativity. I. Orbital Electronegativity of Neutral Atoms
- The use of electrotopological state indices in QSAR studies
- Atom description in QSAR models : Development and use of an atom level index
Cited by
- List of CoMFA references, 1993-1996
- Designing sedative/hypnotic compounds from a novel substructural graph-theoretical approach
- QSAR modeling with the electrotopological state indices: Corticosteroids
- 3D QSAR in modern drug design.
- Molecular quantum similarity in QSAR: applications in computer-aided molecular design
- Improved CoMFA Modeling by Optimization of Settings : Toward the Design of Inhibitors of the HCV NS3 Protease
- Developing 13C NMR quantitative spectrometric data-activity relationship (QSDAR) models of steroid binding to the corticosteroid binding globulin
- Use of electron-electron repulsion energy as a molecular descriptor in QSAR and QSPR studies
- Global 3D-QSAR methods: MS-WHIM and autocorrelation
- Evaluation of a novel molecular vibration-based descriptor (EVA) for QSAR studies: 2. Model validation using a benchmark steroid dataset
- Computational modeling of biologically active molecules using NMR spectra.
- The E-State as the Basis for Molecular Structure Space Definition and Structure Similarity
- Application of (quantitative) structure-activity relationships to progestagens: from serendipity to structure-based design.
- Development of quantitative structure-binding affinity relationship models based on novel geometrical chemical descriptors of the protein-ligand interfaces.
- 3D-QSAR studies on glycogen phosphorylase inhibitors by flexible comparative molecular field analysis
- Three-Dimensional Quantitative Structure-Activity Relationships from Tuned Molecular Quantum Similarity Measures: Prediction of the Corticosteroid-Binding Globulin Binding Affinity for a Steroid Family
- Development of kNN QSAR Models for 3-Arylisoquinoline Antitumor Agents
- Models of Polychlorinated Dibenzodioxins, Dibenzofurans, and Biphenyls Binding Affinity to the Aryl Hydrocarbon Receptor Developed Using 13C NMR Data
- QSAR models for anti-androgenic effect – a preliminary study
- Field-Based Similarity Forcing in Energy Minimization and Molecular Matching
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