ArticleNucleic acids research2009
SuperScent--a database of flavors and scents.
Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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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.
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Who cites it
53 citing papers in PubMed.
- A single-cell and spatial atlas of early human olfactory development.Nature communications · 2026Article
- sCentInDB: a database of essential oil chemical profiles of Indian medicinal plants.Molecular diversity · 2026Article
- MORE-Q, a dataset for molecular olfactorial receptor engineering by quantum mechanics.Scientific data · 2025Article
- A systematic review of data and models for predicting food flavor and texture.Current research in food science · 2025Review
- An overview on olfaction in the biological, analytical, computational, and machine learning fields.Archiv der Pharmazie · 2025Review
- Floral Volatile Organic Compounds ofPlant-environment interactions (Hoboken, N.J.) · 2024Article
- Pyrfume: A window to the world's olfactory data.Scientific data · 2024Article
- Pred-O3, a web server to predict molecules, olfactory receptors and odor relationships.Nucleic acids research · 2024Article
- Standardizing Substrate Selection: A Strategy toward Unbiased Evaluation of Reaction Generality.ACS central science · 2024Article
- A critical assessment of bioactive compounds databases.Future medicinal chemistry · 2024Review
- Transcriptome Analyses Reveal the Aroma Terpeniods Biosynthesis Pathways ofInternational journal of molecular sciences · 2023Article
- Data-Driven Elucidation of Flavor Chemistry.Journal of agricultural and food chemistry · 2023Review
- Volatile metabolome and floral transcriptome analyses reveal the volatile components of strongly fragrant progeny ofFrontiers in plant science · 2023Article
- OptNCMiner: a deep learning approach for the discovery of natural compounds modulating disease-specific multi-targets.BMC bioinformatics · 2022Article
- OlfactionBase: a repository to explore odors, odorants, olfactory receptors and odorant-receptor interactions.Nucleic acids research · 2022Article
- Computational gastronomy: A data science approach to food.Journal of biosciences · 2022Article
- Efficient processing of natural scenes in visual cortex.Frontiers in cellular neuroscience · 2022Review
- Terpenoids and their gene regulatory networks inFrontiers in plant science · 2022Article
- Disorder and the Neural Representation of Complex Odors.Frontiers in computational neuroscience · 2022Article
- Novel Antiviral Activity of Ethyl 3-Hydroxyhexanoate Against Coxsackievirus B Infection.Frontiers in microbiology · 2022Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Volatiles are efficient mediators of chemical communication acting universally as attractant, repellent or warning signal in all kingdoms of life. Beside this broad impact volatiles have in nature, scents are also widely used in pharmaceutical, food and cosmetic industries, so the identification of new scents is of great industrial interest. Despite this importance as well as the vast number and diversity of volatile compounds, there is currently no comprehensive public database providing information on structure and chemical classification of volatiles. Therefore, the database SuperScent was established to supply users with detailed information on the variety of odor components. The version of the database presented here comprises the 2D/3D structures of approximately 2100 volatiles and around 9200 synonyms as well as physicochemical properties, commercial availability and references. The volatiles are classified according to their origin, functionality and odorant groups. The information was extracted from the literature and web resources. SuperScent offers several search options, e.g. name, Pubchem ID number, species, functional groups, or molecular weight. SuperScent is available online at: http://bioinformatics.charite.de/superscent.
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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.