On the public citation graph

Estimating Error Rates in Bioactivity Databases

0 signed · 86 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1002/3527603743openalex-snapshot
Chemoinformatics in Drug Discovery
inferredcites →https://doi.org/10.1007/bf02821337openalex-snapshot
The European Bioinformatics Institute
inferredcites →https://doi.org/10.1016/0888-7543(90)90583-gopenalex-snapshot
The National Center for Biotechnology Information
inferredcites →https://doi.org/10.1016/j.drudis.2011.07.007openalex-snapshot
A quality alert and call for improved curation of public chemistry databases
inferredcites →https://doi.org/10.1016/j.drudis.2012.02.013openalex-snapshot
Towards a gold standard: regarding quality in public domain chemistry databases and approaches to improving the situation
inferredcites →https://doi.org/10.1021/ci100176xopenalex-snapshot
Trust, But Verify: On the Importance of Chemical Structure Curation in Cheminformatics and QSAR Modeling Research
inferredcites →https://doi.org/10.1021/ci2003126openalex-snapshot
Analysis of Commercial and Public Bioactivity Databases
inferredcites →https://doi.org/10.1021/jm300131xopenalex-snapshot
The Experimental Uncertainty of Heterogeneous Public Ki Data
inferredcites →https://doi.org/10.1038/nchembio.354openalex-snapshot
Compound bioactivities go public
inferredcites →https://doi.org/10.1038/nrd3503openalex-snapshot
Minimum information about a bioactive entity (MIABE)
inferredcites →https://doi.org/10.1093/nar/gkr777openalex-snapshot
ChEMBL: a large-scale bioactivity database for drug discovery
inferredcites →https://doi.org/10.1186/1758-2946-1-10openalex-snapshot
Quantitative assessment of the expanding complementarity between public and commercial databases of bioactive compounds
inferredcites →https://doi.org/10.1371/journal.pcbi.1002333openalex-snapshot
Global Analysis of Small Molecule Binding to Related Protein Targets
inferredcites →https://doi.org/10.2174/156802607782194761openalex-snapshot
Complementarity Between Public and Commercial Databases: New Opportunities in Medicinal Chemistry Informatics
inferredcites →https://doi.org/10.2174/156802612804547380openalex-snapshot
QSARs, Data and Error in the Modern Age of Drug Discovery

What points at this work

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

inferred← citeshttps://doi.org/10.1002/9783527818242.ch10openalex-snapshot
Computational Approaches for Target Inference
inferred← citeshttps://doi.org/10.1002/cmdc.201500424openalex-snapshot
How Consistent are Publicly Reported Cytotoxicity Data? Large‐Scale Statistical Analysis of the Concordance of Public Independent Cytotoxicity Measurements
inferred← citeshttps://doi.org/10.1002/cpch.73openalex-snapshot
Elucidating Compound Mechanism of Action and Predicting Cytotoxicity Using Machine Learning Approaches, Taking Prediction Confidence into Account
inferred← citeshttps://doi.org/10.1002/minf.201400012openalex-snapshot
BCRP Inhibition: from Data Collection to Ligand‐Based Modeling
inferred← citeshttps://doi.org/10.1002/minf.201900059openalex-snapshot
Investigation of Factors Affecting the Performance of in silico Volume Distribution QSAR Models for Human, Rat, Mouse, Dog & Monkey
inferred← citeshttps://doi.org/10.1002/wcms.1192openalex-snapshot
Protein–ligand interaction databases: advanced tools to mine activity data and interactions on a structural level
inferred← citeshttps://doi.org/10.1007/7355_2021_121openalex-snapshot
Machine Learning Methods in Antiviral Drug Discovery
inferred← citeshttps://doi.org/10.1007/978-1-0716-0150-1_5openalex-snapshot
Importance of Data Curation in QSAR Studies Especially While Modeling Large-Size Datasets
inferred← citeshttps://doi.org/10.1007/978-1-0716-1787-8_1openalex-snapshot
Applications of Artificial Intelligence in Drug Design: Opportunities and Challenges
inferred← citeshttps://doi.org/10.1007/978-1-4939-7847-2_15openalex-snapshot
Quantitative Prioritization of Tool Compounds for Phenotypic Screening
inferred← citeshttps://doi.org/10.1007/978-1-4939-9089-4_8openalex-snapshot
Building a Quantitative Structure-Property Relationship (QSPR) Model
inferred← citeshttps://doi.org/10.1007/s10822-015-9860-5openalex-snapshot
Activity, assay and target data curation and quality in the ChEMBL database
inferred← citeshttps://doi.org/10.1007/s11030-014-9545-3openalex-snapshot
LBVS: an online platform for ligand-based virtual screening using publicly accessible databases
inferred← citeshttps://doi.org/10.1016/b978-0-12-809633-8.20192-1openalex-snapshot
Public Chemical Databases
inferred← citeshttps://doi.org/10.1016/b978-0-323-95502-7.00157-3openalex-snapshot
Public Chemical Databases
inferred← citeshttps://doi.org/10.1016/b978-0-443-49253-2.00029-5openalex-snapshot
Databases for molecular docking: PDB, ChEMBL, ZINC, PubChem
inferred← citeshttps://doi.org/10.1016/j.chembiol.2016.05.016openalex-snapshot
Evidence-Based and Quantitative Prioritization of Tool Compounds in Phenotypic Drug Discovery
inferred← citeshttps://doi.org/10.1016/j.ddtec.2015.01.005openalex-snapshot
Chemical databases: curation or integration by user-defined equivalence?
inferred← citeshttps://doi.org/10.1016/j.ymeth.2014.10.013openalex-snapshot
Methods for generating and applying pharmacophore models as virtual screening filters and for bioactivity profiling
inferred← citeshttps://doi.org/10.1016/j.yrtph.2019.05.021openalex-snapshot
Curation and analysis of clinical pathology parameters and histopathologic findings from eTOXsys, a large database project (eTOX) for toxicologic studies
inferred← citeshttps://doi.org/10.1021/acs.chemrev.6b00851openalex-snapshot
Information Retrieval and Text Mining Technologies for Chemistry
inferred← citeshttps://doi.org/10.1021/acs.est.3c00643openalex-snapshot
Toward Property-Based Regulation
inferred← citeshttps://doi.org/10.1021/acs.jcim.2c01073openalex-snapshot
Exposing the Limitations of Molecular Machine Learning with Activity Cliffs
inferred← citeshttps://doi.org/10.1021/acs.jcim.4c00130openalex-snapshot
Binding Curve Viewer: Visualizing the Equilibrium and Kinetics of Protein–Ligand Binding and Competitive Binding
inferred← citeshttps://doi.org/10.1021/acs.jcim.5b00090openalex-snapshot
Benchmarking Data Sets for the Evaluation of Virtual Ligand Screening Methods: Review and Perspectives
inferred← citeshttps://doi.org/10.1021/acs.jcim.8b00832openalex-snapshot
Advances and Challenges in Computational Target Prediction
inferred← citeshttps://doi.org/10.1021/acs.molpharmaceut.4c00991openalex-snapshot
Establishing a Pharmacoinformatics Repository of Approved Medicines: A Database to Support Drug Product Development
inferred← citeshttps://doi.org/10.1021/acschembio.6b00706openalex-snapshot
What Can We Learn from Bioactivity Data? Chemoinformatics Tools and Applications in Chemical Biology Research
inferred← citeshttps://doi.org/10.1038/nrd4581openalex-snapshot
Predicting drug metabolism: experiment and/or computation?
inferred← citeshttps://doi.org/10.1038/s41573-023-00774-7openalex-snapshot
Artificial intelligence for natural product drug discovery
inferred← citeshttps://doi.org/10.1038/s41597-025-06245-5openalex-snapshot
NMRexp: A database of 3.3 million experimental NMR spectra
inferred← citeshttps://doi.org/10.1039/9781782622659-00185openalex-snapshot
The Need for a Green Electronic Lab Notebook
inferred← citeshttps://doi.org/10.1039/9781839160233-00037openalex-snapshot
MedChemInformatics: An Introduction to Machine Learning for Drug Discovery
inferred← citeshttps://doi.org/10.1039/c4md00216dopenalex-snapshot
Polypharmacology modelling using proteochemometrics (PCM): recent methodological developments, applications to target families, and future prospects
inferred← citeshttps://doi.org/10.1039/d1md00138hopenalex-snapshot
Will the chemical probes please stand up?
inferred← citeshttps://doi.org/10.1039/d4sc08802fopenalex-snapshot
NMRExtractor: leveraging large language models to construct an experimental NMR database from open-source scientific publications
inferred← citeshttps://doi.org/10.1080/17460441.2024.2376643openalex-snapshot
Polypharmacology prediction: the long road toward comprehensively anticipating small-molecule selectivity to de-risk drug discovery
inferred← citeshttps://doi.org/10.1093/bioinformatics/btv644openalex-snapshot
Flexible data integration and curation using a graph-based approach
inferred← citeshttps://doi.org/10.1093/bioinformatics/btx525openalex-snapshot
Orthologue chemical space and its influence on target prediction
inferred← citeshttps://doi.org/10.1093/database/bat044openalex-snapshot
The CARLSBAD Database: A Confederated Database of Chemical Bioactivities
inferred← citeshttps://doi.org/10.1109/tevc.2024.3382145openalex-snapshot
A Survey on Evolutionary Computation-Based Drug Discovery
inferred← citeshttps://doi.org/10.1186/1758-2946-6-35openalex-snapshot
Proteochemometric modeling in a Bayesian framework
inferred← citeshttps://doi.org/10.1186/s12859-017-1845-zopenalex-snapshot
VB-MK-LMF: fusion of drugs, targets and interactions using variational Bayesian multiple kernel logistic matrix factorization
inferred← citeshttps://doi.org/10.1186/s13321-015-0108-0openalex-snapshot
A reliable computational workflow for the selection of optimal screening libraries
inferred← citeshttps://doi.org/10.1186/s13321-018-0293-8openalex-snapshot
PubChem chemical structure standardization
inferred← citeshttps://doi.org/10.1186/s13321-021-00539-7openalex-snapshot
Probabilistic Random Forest improves bioactivity predictions close to the classification threshold by taking into account experimental uncertainty
inferred← citeshttps://doi.org/10.1186/s13321-024-00826-zopenalex-snapshot
A new workflow for the effective curation of membrane permeability data from open ADME information
inferred← citeshttps://doi.org/10.1186/s13321-026-01174-wopenalex-snapshot
Data curation in cheminformatics: importance and implementation
inferred← citeshttps://doi.org/10.1273/cbij.23.1openalex-snapshot
Difficulties and prospects of data curation for ADME in silico modeling
inferred← citeshttps://doi.org/10.14573/altex.1809281openalex-snapshot
Workflow for Defining Reference Chemicals for Assessing Performance of In Vitro Assays
inferred← citeshttps://doi.org/10.14573/altex.1809281s1openalex-snapshot
Workflow for Defining Reference Chemicals for Assessing Performance of In Vitro Assays_suppl1
inferred← citeshttps://doi.org/10.14573/altex.1809281s2openalex-snapshot
Workflow for Defining Reference Chemicals for Assessing Performance of In Vitro Assays_suppl2
inferred← citeshttps://doi.org/10.26434/chemrxiv-2024-kxlgmopenalex-snapshot
Excuse me, there is a mutant in my bioactivity soup!A comprehensive analysis of the genetic variability landscape of bioactivity databases and its effect on activity modelling
inferred← citeshttps://doi.org/10.26434/chemrxiv.14544291openalex-snapshot
Probabilistic Random Forest Improves Bioactivity Predictions Close to the Classification Threshold by Taking into Account Experimental Uncertainty
inferred← citeshttps://doi.org/10.3389/fchem.2018.00133openalex-snapshot
How to Achieve Better Results Using PASS-Based Virtual Screening: Case Study for Kinase Inhibitors
inferred← citeshttps://doi.org/10.3389/fphar.2018.00128openalex-snapshot
Exploring G Protein-Coupled Receptors (GPCRs) Ligand Space via Cheminformatics Approaches: Impact on Rational Drug Design
inferred← citeshttps://doi.org/10.3389/fphy.2018.00052openalex-snapshot
Computational Studies for Structure-Based Drug Designing Against Transmembrane Receptors: pLGICs and Class A GPCRs
inferred← citeshttps://doi.org/10.4155/fdd-2019-0027openalex-snapshot
Now the Future, We See Our Dreams: Artificial Intelligence in Drug Discovery
inferred← citeshttps://doi.org/10.4155/fmc.14.13openalex-snapshot
Exploiting Open Data: A New Era in Pharmacoinformatics
inferred← citeshttps://doi.org/10.4155/fmc.14.8openalex-snapshot
The Chembl Database: A Taster for Medicinal Chemists
inferred← citeshttps://doi.org/10.51583/ijltemas.2025.1412000101openalex-snapshot
Centrality Measures in QSPR Modelling of Antiviral Compounds for COVID-19
inferred← citeshttps://doi.org/10.6084/m9.figshare.15569340openalex-snapshot
Additional file 1 of Probabilistic Random Forest improves bioactivity predictions close to the classification threshold by taking into account experimental uncertainty
inferred← citeshttps://doi.org/10.6084/m9.figshare.15569352openalex-snapshot
Additional file 2 of Probabilistic Random Forest improves bioactivity predictions close to the classification threshold by taking into account experimental uncertainty
inferred← citeshttps://doi.org/10.6084/m9.figshare.26693071openalex-snapshot
Additional file 1 of A new workflow for the effective curation of membrane permeability data from open ADME information
inferred← citeshttps://doi.org/10.6084/m9.figshare.26693074openalex-snapshot
Additional file 2 of A new workflow for the effective curation of membrane permeability data from open ADME information
inferred← citeshttps://doi.org/10.6084/m9.figshare.26693077openalex-snapshot
Additional file 3 of A new workflow for the effective curation of membrane permeability data from open ADME information
inferred← citeshttps://doi.org/10.6084/m9.figshare.26693083openalex-snapshot
Additional file 4 of A new workflow for the effective curation of membrane permeability data from open ADME information
inferred← citeshttps://doi.org/10.6084/m9.figshare.26693086openalex-snapshot
Additional file 5 of A new workflow for the effective curation of membrane permeability data from open ADME information
inferred← citeshttps://doi.org/10.6084/m9.figshare.26693089openalex-snapshot
Additional file 6 of A new workflow for the effective curation of membrane permeability data from open ADME information
inferred← citeshttps://doi.org/10.64898/2026.06.18.732083openalex-snapshot
Pharmacological Stratification of Public Bioactivity Databases: A Reusable, OECD-Anchored Curation and Benchmarking Framework Demonstrated for Opioid Receptors
inferred← citeshttps://doi.org/10.70675/2b288725z2446z48c5z833ezf53915cd324bopenalex-snapshot
Développement d’outils statistiques d’évaluation de méthodes de criblage virtuel : courbes de prédictivité & Screening Explorer
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.