ArticleJournal of cheminformatics2018
PubChem chemical structure standardization.
Article in Journal of cheminformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.
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Who cites it
73 citing papers in PubMed.
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- Data curation in cheminformatics: importance and implementation.Journal of cheminformatics · 2026Review
- Metabolite names and identifiers: how far are we from interoperability?Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Enhancing bioinformatics engineering by utilizing graph therapeutic properties for clinically approved antitoxin drugs in zoonotic diseases.Scientific reports · 2026Article
- Ameliorative effects of gum Arabic-coated selenium nanoparticles on Cisplatin-induced cerebellar neurotoxicity in rats.Scientific reports · 2026Article
- Antidepressant Mechanisms of L-Theanine in Tea Based on Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulations.Foods (Basel, Switzerland) · 2026Article
- Hyperoside Attenuates Lupus Nephritis-Associated Mesangial Cell Apoptosis via the P53/XAF1 Pathway: Integrative Bioinformatics and In Vitro Validation.Journal of inflammation research · 2026Article
- Machine-Readable Structural Information Is Essential for Natural Products Research.Journal of natural products · 2025Review
- High-Quality Predicted Pathway Annotations Greatly Improve Pathway Enrichment Analysis of Metabolomics Datasets.bioRxiv : the preprint server for biology · 2025Article
- Active Stacking-Deep Learning with Strategic Sampling for Small and Imbalanced Chemical Toxicity Prediction.ACS omega · 2025Article
- QSAR Models for Predicting Oral Bioavailability and Volume of Distribution and Their Application in Mapping the TK Space of Endocrine Disruptors.Journal of xenobiotics · 2025Article
- Representation of Molecules by Sequences of Instructions.Journal of chemical information and modeling · 2025Article
- From Spectra to Structure: AI-PoweredAnalytical chemistry · 2025Article
- Network toxicology combined with molecular docking technology to explore the molecular mechanism of amatoxin causing liver injury.Scientific reports · 2025Article
- Computational analysis of luteolin, apigenin and their derivatives from Allophylus africanus as potential inhibitors of plasmepsin II a malaria target.BMC chemistry · 2025Article
- Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real World.Chemical research in toxicology · 2025Review
- Chemical representation standardization needed to generalize metabolic pathway involvement prediction across the Kyoto Encyclopedia of Genes and Genomes, Reactome, and MetaCyc knowledgebases.bioRxiv : the preprint server for biology · 2025Article
- Three pillars for ensuring public access and integrity of chemical databases powering cheminformatics.Journal of cheminformatics · 2025Article
13 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
backgroundPubChem is a chemical information repository, consisting of three primary databases: Substance, Compound, and BioAssay. When individual data contributors submit chemical substance descriptions to Substance, the unique chemical structures are extracted and stored into Compound through an automated process called structure standardization. The present study describes the PubChem standardization approaches and analyzes them for their success rates, reasons that cause structures to be rejected, and modifications applied to structures during the standardization process. Furthermore, the PubChem standardization is compared to the structure normalization of the IUPAC International Chemical Identifier (InChI) software, as manifested by conversion of the InChI back into a chemical structure.
resultsThe observed rejection rate for substances processed by PubChem standardization was 0.36%, which is predominantly attributed to structures with invalid atom valences that cannot be readily corrected without additional information from contributors. Of all structures that pass standardization, 44% are modified in the process, reducing the count of unique structures from 53,574,724 in substance to 45,808,881 in compound as identified by de-aromatized canonical isomeric SMILES. Even though the processing time is very low on average (only 0.4% of structures have individual standardization time above 0.1 s), total standardization time is completely dominated by edge cases: 90% of the time to standardize all structures in PubChem substance is spent on the 2.05% of structures with the highest individual standardization time. It is worth noting that 60% of the structures obtained from PubChem structure standardization are not identical to the chemical structure resulting from the InChI (primarily due to preferences for a different tautomeric form).
conclusionsStandardization of chemical structures is complicated by the diversity of chemical information and their representations approaches. The PubChem standardization is an effective and efficient tool to account for molecular diversity and to eliminate invalid/incomplete structures. Further development will concentrate on improved tautomer consideration and an expanded stereocenter definition. Modifications are difficult to thoroughly validate, with slight changes often affecting many thousands of structures and various edge cases. The PubChem structure standardization service is accessible as a public resource ( https://pubchem.ncbi.nlm.nih.gov/standardize ), and via programmatic interfaces.
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