On the public citation graph

Using Tversky Similarity Searches for Core Hopping: Finding the Needles in the Haystack

0 signed · 49 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/(sici)1521-3773(19991004)38:19<2894::aid-anie2894>3.0.co;2-fopenalex-snapshot
“Scaffold-Hopping” by Topological Pharmacophore Search: A Contribution to Virtual Screening
inferredcites →https://doi.org/10.1002/1521-3773(20001117)39:22<4130::aid-anie4130>3.0.co;2-eopenalex-snapshot
Virtual Screening for Bioactive Molecules by Evolutionary De Novo Design
inferredcites →https://doi.org/10.1002/jcc.21218openalex-snapshot
Distance phenomena in high‐dimensional chemical descriptor spaces: Consequences for similarity‐based approaches
inferredcites →https://doi.org/10.1002/qsar.200610091openalex-snapshot
Scaffold‐Hopping: How Far Can You Jump?
inferredcites →https://doi.org/10.1016/0014-5793(94)00773-xopenalex-snapshot
SR141716A, a potent and selective antagonist of the brain cannabinoid receptor
inferredcites →https://doi.org/10.1016/0960-894x(95)00564-aopenalex-snapshot
Synthesis and biological evaluation of 2,3-diarylthiophenes as selective cox-2 inhibitors. part II: Replacing the heterocycle
inferredcites →https://doi.org/10.1016/j.bmcl.2005.02.077openalex-snapshot
2,3-Diaminopyridine as a platform for designing structurally unique nonpeptide bradykinin B1 receptor antagonists
inferredcites →https://doi.org/10.1016/j.bmcl.2007.04.087openalex-snapshot
Discovery of pyrazine carboxamide CB1 antagonists: The introduction of a hydroxyl group improves the pharmaceutical properties and in vivo efficacy of the series
inferredcites →https://doi.org/10.1016/j.ddtec.2004.10.009openalex-snapshot
Scaffold hopping
inferredcites →https://doi.org/10.1016/s0079-6468(02)41002-8openalex-snapshot
Virtual Screening of Virtual Libraries
inferredcites →https://doi.org/10.1016/s0960-894x(98)00499-5openalex-snapshot
2-Pyridinyl-3-(4-methylsulfonyl)phenylpyridines: Selective and orally active cyclooxygenase-2 inhibitors
inferredcites →https://doi.org/10.1016/s0960-894x(99)00288-7openalex-snapshot
The discovery of rofecoxib, [MK 966, VIOXX®, 4-(4′-methylsulfonylphenyl)-3-phenyl-2(5H)-furanone], an orally active cyclooxygenase-2 inhibitor
inferredcites →https://doi.org/10.1016/s1359-6446(05)03427-6openalex-snapshot
Keynote review: Medicinal chemistry strategies to CB1 cannabinoid receptor antagonists
inferredcites →https://doi.org/10.1016/s1574-1400(08)00011-xopenalex-snapshot
SAR Knowledge Bases in Drug Discovery
inferredcites →https://doi.org/10.1021/ci00010a015openalex-snapshot
An algorithm for the multiple common subgraph problem
inferredcites →https://doi.org/10.1021/ci0503964openalex-snapshot
The Quest for Bioisosteric Replacements
inferredcites →https://doi.org/10.1021/jm0511280openalex-snapshot
Cyclopropylamino Acid Amide as a Pharmacophoric Replacement for 2,3-Diaminopyridine. Application to the Design of Novel Bradykinin B1 Receptor Antagonists
inferredcites →https://doi.org/10.1021/jm061094bopenalex-snapshot
Development of Orally Bioavailable and CNS Penetrant Biphenylaminocyclopropane Carboxamide Bradykinin B 1 Receptor Antagonists
inferredcites →https://doi.org/10.1021/jm960803qopenalex-snapshot
Synthesis and Biological Evaluation of the 1,5-Diarylpyrazole Class of Cyclooxygenase-2 Inhibitors: Identification of 4-[5-(4-Methylphenyl)-3- (trifluoromethyl)-1 H -pyrazol-1-yl]benzenesulfonamide (SC-58635, Celecoxib)
inferredcites →https://doi.org/10.1021/jm990577vopenalex-snapshot
4-[5-Methyl-3-phenylisoxazol-4-yl]- benzenesulfonamide, Valdecoxib: A Potent and Selective Inhibitor of COX-2
inferredcites →https://doi.org/10.1037/0033-295x.84.4.327openalex-snapshot
Features of similarity.
inferredcites →https://doi.org/10.5860/choice.41-5919openalex-snapshot
An introduction to chemoinformatics

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/9781118742785.ch15openalex-snapshot
MOLECULAR SIMILARITY ANALYSIS
inferred← citeshttps://doi.org/10.1002/9783527665143.ch06openalex-snapshot
Similarity‐Based Scaffold Hopping Using 2D Fingerprints
inferred← citeshttps://doi.org/10.1007/978-1-60761-839-3_5openalex-snapshot
Similarity Searching Using 2D Structural Fingerprints
inferred← citeshttps://doi.org/10.1016/b978-0-443-18611-0.00008-5openalex-snapshot
Computational methods for scaffold hopping
inferred← citeshttps://doi.org/10.1016/j.biopha.2020.110484openalex-snapshot
Marine compounds targeting the PI3K/Akt signaling pathway in cancer therapy
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2022.105526openalex-snapshot
Lead generation of cysteine based mesenchymal epithelial transition (c-Met) kinase inhibitors: Using structure-based scaffold hopping, 3D-QSAR pharmacophore modeling, virtual screening, molecular docking, and molecular dynamics simulation
inferred← citeshttps://doi.org/10.1016/j.tcs.2017.01.004openalex-snapshot
Relaxed triangle inequality ratio of the Sørensen–Dice and Tversky indexes
inferred← citeshttps://doi.org/10.1016/s0065-7743(10)45025-3openalex-snapshot
Compound Collection Enhancement and Paradigms for High-Throughput Screening — an Update
inferred← citeshttps://doi.org/10.1021/ci200136jopenalex-snapshot
Structure-Based Fragment Hopping for Lead Optimization Using Predocked Fragment Database
inferred← citeshttps://doi.org/10.1021/ci2003945openalex-snapshot
Development of a Method To Consistently Quantify the Structural Distance between Scaffolds and To Assess Scaffold Hopping Potential
inferred← citeshttps://doi.org/10.1021/ci400106gopenalex-snapshot
Do Not Hesitate to Use Tversky—and Other Hints for Successful Active Analogue Searches with Feature Count Descriptors
inferred← citeshttps://doi.org/10.1021/ci5005702openalex-snapshot
Maximum Common Substructure-Based Data Fusion in Similarity Searching
inferred← citeshttps://doi.org/10.1021/ci900419kopenalex-snapshot
Current Trends in Ligand-Based Virtual Screening: Molecular Representations, Data Mining Methods, New Application Areas, and Performance Evaluation
inferred← citeshttps://doi.org/10.1021/jm100492zopenalex-snapshot
Scaffold Hopping Using Two-Dimensional Fingerprints: True Potential, Black Magic, or a Hopeless Endeavor? Guidelines for Virtual Screening
inferred← citeshttps://doi.org/10.1039/c0md00156bopenalex-snapshot
Global assessment of scaffold hopping potential for current pharmaceutical targets
inferred← citeshttps://doi.org/10.1080/07391102.2016.1227726openalex-snapshot
Identification of dual ligands targeting angiotensin II type 1 receptor and peroxisome proliferator-activated receptor-γ by core hopping of telmisartan
inferred← citeshttps://doi.org/10.1080/07391102.2016.1252282openalex-snapshot
Highly predictive hologram QSAR models of nitrile-containing cruzain inhibitors
inferred← citeshttps://doi.org/10.11606/t.75.2018.tde-16012018-091612openalex-snapshot
Planejamento, síntese e avaliação de inibidores da enzima cruzaína e de agentes tripanossomicidas derivados de imidazopiridina
inferred← citeshttps://doi.org/10.1186/s13321-017-0198-yopenalex-snapshot
Analysis of drug–endogenous human metabolite similarities in terms of their maximum common substructures
inferred← citeshttps://doi.org/10.1186/s13321-017-0235-xopenalex-snapshot
Molecular de-novo design through deep reinforcement learning
inferred← citeshttps://doi.org/10.2147/dddt.s42113openalex-snapshot
Find novel dual-agonist drugs for treating type 2 diabetes by means of cheminformatics
inferred← citeshttps://doi.org/10.3389/fchem.2021.662688openalex-snapshot
Applications of Virtual Screening in Bioprospecting: Facts, Shifts, and Perspectives to Explore the Chemo-Structural Diversity of Natural Products
inferred← citeshttps://doi.org/10.3389/fphar.2016.00266openalex-snapshot
MetMaxStruct: A Tversky-Similarity-Based Strategy for Analysing the (Sub)Structural Similarities of Drugs and Endogenous Metabolites
inferred← citeshttps://doi.org/10.3390/foods15091582openalex-snapshot
Machine Learning Approaches for Compound–Target Interaction Prediction: A Review
inferred← citeshttps://doi.org/10.4155/fmc.10.277openalex-snapshot
Computational Medicinal Chemistry in Fragment-Based Drug Discovery: What, How and When
inferred← citeshttps://doi.org/10.4236/cmb.2011.11002openalex-snapshot
Chemoinformatic Approaches for Inhibitors of DNA Methyltransferases: Comprehensive Characterization of Screening Libraries
inferred← citeshttps://doi.org/10.48550/arxiv.1704.07555openalex-snapshot
Molecular De Novo Design through Deep Reinforcement Learning
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.