ArticleJournal of cheminformatics2013
InChI in the wild: an assessment of InChIKey searching in Google.
Article in Journal of cheminformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed.
- TM-MC 2.0: an enhanced chemical database of medicinal materials in Northeast Asian traditional medicine.BMC complementary medicine and therapies · 2024Article
- Complementary Dual Approach for In Silico Target Identification of Potential Pharmaceutical Compounds in Cystic Fibrosis.International journal of molecular sciences · 2022Article
- PeakForest: a multi-platform digital infrastructure for interoperable metabolite spectral data and metadata management.Metabolomics : Official journal of the Metabolomic Society · 2022Article
- Advances in decomposing complex metabolite mixtures using substructure- and network-based computational metabolomics approaches.Natural product reports · 2021Review
- Will the chemical probes please stand up?RSC medicinal chemistry · 2021Article
- Comprehensive Analysis of Chemical Structures That Have Been Tested as CFTR Activating Substances in a Publicly Available Database CandActCFTR.Frontiers in pharmacology · 2021Article
- Can an InChI for Nano Address the Need for a Simplified Representation of Complex Nanomaterials across Experimental and Nanoinformatics Studies?Nanomaterials (Basel, Switzerland) · 2020Article
- Molecular representations in AI-driven drug discovery: a review and practical guide.Journal of cheminformatics · 2020Review
- Opening up connectivity between documents, structures and bioactivity.Beilstein journal of organic chemistry · 2020Review
- Caveat Usor: Assessing Differences between Major Chemistry Databases.ChemMedChem · 2018Review
- Annotation of Peptide Structures Using SMILES and Other Chemical Codes-Practical Solutions.Molecules (Basel, Switzerland) · 2017Review
- Internet Databases of the Properties, Enzymatic Reactions, and Metabolism of Small Molecules-Search Options and Applications in Food Science.International journal of molecular sciences · 2016Review
- Can Invalid Bioactives Undermine Natural Product-Based Drug Discovery?Journal of medicinal chemistry · 2016Review
- The IUPHAR/BPS Guide to PHARMACOLOGY in 2016: towards curated quantitative interactions between 1300 protein targets and 6000 ligands.Nucleic acids research · 2016Article
- Common Amino Acid Subsequences in a Universal Proteome--Relevance for Food Science.International journal of molecular sciences · 2015Review
- Many InChIs and quite some feat.Journal of computer-aided molecular design · 2015Article
- Expanding opportunities for mining bioactive chemistry from patents.Drug discovery today. Technologies · 2015Review
- Parallel worlds of public and commercial bioactive chemistry data.Journal of medicinal chemistry · 2015Article
- Finding small molecules for the 'next Ebola'.F1000Research · 2015Article
- Computational methods in drug discovery.Pharmacological reviews · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While chemical databases can be queried using the InChI string and InChIKey (IK) the latter was designed for open-web searching. It is becoming increasingly effective for this since more sources enhance crawling of their websites by the Googlebot and consequent IK indexing. Searchers who use Google as an adjunct to database access may be less familiar with the advantages of using the IK as explored in this review. As an example, the IK for atorvastatin retrieves ~200 low-redundancy links from a Google search in 0.3 of a second. These include most major databases and a very low false-positive rate. Results encompass less familiar but potentially useful sources and can be extended to isomer capture by using just the skeleton layer of the IK. Google Advanced Search can be used to filter large result sets. Image searching with the IK is also effective and complementary to open-web queries. Results can be particularly useful for less-common structures as exemplified by a major metabolite of atorvastatin giving only three hits. Testing also demonstrated document-to-document and document-to-database joins via structure matching. The necessary generation of an IK from chemical names can be accomplished using open tools and resources for patents, papers, abstracts or other text sources. Active global sharing of local IK-linked information can be accomplished via surfacing in open laboratory notebooks, blogs, Twitter, figshare and other routes. While information-rich chemistry (e.g. approved drugs) can exhibit swamping and redundancy effects, the much smaller IK result sets for link-poor structures become a transformative first-pass option. The IK indexing has therefore turned Google into a de-facto open global chemical information hub by merging links to most significant sources, including over 50 million PubChem and ChemSpider records. The simplicity, specificity and speed of matching make it a useful option for biologists or others less familiar with chemical searching. However, compared to rigorously maintained major databases, users need to be circumspect about the consistency of Google results and provenance of retrieved links. In addition, community engagement may be necessary to ameliorate possible future degradation of utility.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.