On the public citation graph
Chemogenomics: Looking at biology through the lens of chemistry
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1 of the 83 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1038/nm1491 (notice 2011-01-07).
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Retraction Watch data via Crossref Labs, used with credit; OpenCitations Index (CC0) and Meta (CC BY 4.0);
dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).
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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/cmdc.200700026openalex-snapshotAnalysis of Pharmacology Data and the Prediction of Adverse Drug Reactions and Off‐Target Effects from Chemical Structure
inferredcites →https://doi.org/10.1002/prot.20392openalex-snapshotLinking tumor cell cytotoxicity to mechanism of drug action: An integrated analysis of gene expression, small‐molecule screening and structural databases
inferredcites →https://doi.org/10.1021/ci025531gopenalex-snapshotPerformance of Similarity Measures in 2D Fragment-Based Similarity Searching: Comparison of Structural Descriptors and Similarity Coefficients
inferredcites →https://doi.org/10.1021/ci049885eopenalex-snapshotLigandScout: 3-D Pharmacophores Derived from Protein-Bound Ligands and Their Use as Virtual Screening Filters
inferredcites →https://doi.org/10.1021/ci050065ropenalex-snapshotChemometric Analysis of Ligand Receptor Complementarity: Identifying Complementary Ligands Based on Receptor Information (CoLiBRI)
inferredcites →https://doi.org/10.1021/ci050221uopenalex-snapshotAn Automated System for the Analysis of G Protein-Coupled Receptor Transmembrane Binding Pockets: Alignment, Receptor-Based Pharmacophores, and Their Application
inferredcites →https://doi.org/10.1021/ci060003gopenalex-snapshotPrediction of Biological Targets for Compounds Using Multiple-Category Bayesian Models Trained on Chemogenomics Databases
inferredcites →https://doi.org/10.1021/ci600197yopenalex-snapshot“Bayes Affinity Fingerprints” Improve Retrieval Rates in Virtual Screening and Define Orthogonal Bioactivity Space: When Are Multitarget Drugs a Feasible Concept?
inferredcites →https://doi.org/10.1021/ci8003896openalex-snapshotSubstructure Mining of GPCR Ligands Reveals Activity-Class Specific Functional Groups in an Unbiased Manner
inferredcites →https://doi.org/10.1021/ci9501047openalex-snapshotUse of Structure−Activity Data To Compare Structure-Based Clustering Methods and Descriptors for Use in Compound Selection
inferredcites →https://doi.org/10.1021/jm00053a018openalex-snapshotFurther development of hydrogen bond functions for use in determining energetically favorable binding sites on molecules of known structure. 1. Ligand probe groups with the ability to form two hydrogen bonds
inferredcites →https://doi.org/10.1021/jm00053a019openalex-snapshotFurther development of hydrogen bond functions for use in determining energetically favorable binding sites on molecules of known structure. 2. Ligand probe groups with the ability to form more than two hydrogen bonds
inferredcites →https://doi.org/10.1021/jm00125a025openalex-snapshotNew hydrogen-bond potentials for use in determining energetically favorable binding sites on molecules of known structure
inferredcites →https://doi.org/10.1021/jm00145a002openalex-snapshotA computational procedure for determining energetically favorable binding sites on biologically important macromolecules
inferredcites →https://doi.org/10.1021/jm050363fopenalex-snapshotMatrix Metalloproteinase Target Family Landscape: A Chemometrical Approach to Ligand Selectivity Based on Protein Binding Site Analysis
inferredcites →https://doi.org/10.1021/jm980573aopenalex-snapshotIdentification of Novel Classes of Protein Kinase Inhibitors Using Combinatorial Peptide Chemistry Based on Functional Genomics Knowledge
inferredcites →https://doi.org/10.1023/a:1008781006867openalex-snapshotPredicting binding modes, binding affinities and `hot spots' for protein-ligand complexes using a knowledge-based scoring function
inferredcites →https://doi.org/10.1038/3282openalex-snapshotDrug target validation and identification of secondary drug target effects using DNA microarrays
inferredcites →https://doi.org/10.1271/bbb.58.1579openalex-snapshotAction of FR901228, a Novel Antitumor Bicyclic Depsipeptide Produced byChromo-bacterium violaceumNo. 968, on Ha-rasTransformed NIH3T3 Cells
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1039/c0md00165aopenalex-snapshotProteochemometric modeling as a tool to design selective compounds and for extrapolating to novel targets
inferred← citeshttps://doi.org/10.1039/c4md00216dopenalex-snapshotPolypharmacology modelling using proteochemometrics (PCM): recent methodological developments, applications to target families, and future prospects
inferred← citeshttps://doi.org/10.1186/1471-2105-11-316openalex-snapshotA novel chemogenomics analysis of G protein-coupled receptors (GPCRs) and their ligands: a potential strategy for receptor de-orphanization
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