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3D QSAR Analyses of Novel Tyrosine Kinase Inhibitors Based on Pharmacophore Alignment
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Derivation of Pharmacophore and CoMFA Models for Leukotriene D4 Receptor Antagonists of the Quinolinyl(bridged)aryl Series
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Receptor Protein-Tyrosine Kinases and Their Signal Transduction Pathways
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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ChemInform Abstract: 3D QSAR Analyses of Novel Tyrosine Kinase Inhibitors Based on Pharmacophore Alignment.
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QSAR studies on 1-phenylbenzimidazoles as inhibitors of the platelet-derived growth factor
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3D-QSAR studies on antitubercular thymidine monophosphate kinase inhibitors based on different alignment methods
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Computer-aided identification of EGFR tyrosine kinase inhibitors using ginsenosides from Panax ginseng
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Using the TOPS-MODE approach to fit multi-target QSAR models for tyrosine kinases inhibitors
inferred← citeshttps://doi.org/10.1016/s0928-0987(03)00170-2openalex-snapshot
Quantitative structure–activity relationships (QSAR): studies of inhibitors of tyrosine kinase
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Ultra-High-Throughput Structure-Based Virtual Screening for Small-Molecule Inhibitors of Protein–Protein Interactions
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Classification of Kinase Inhibitors Using a Bayesian Model
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Use of 3D Pharmacophore Models in 3D Database Searching
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Application of novel molecular alignment method using Hopfield Neural Network to 3D-QSAR
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Application of novel molecular alignment method using Hopfield Neural Network to 3D-QSAR
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Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA) Studies on α1A-Adrenergic Receptor Antagonists Based on Pharmacophore Molecular Alignment
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Pharmacophore approaches in protein kinase inhibitors design
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