ArticleScientific reports2016
BitterX: a tool for understanding bitter taste in humans.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
33 citing papers in PubMed, 87 citations in OpenAlex.
- Bitter Compounds in Medicinal Food Plants Based on Traditional Chinese Medicine: Analysis and Regulation Strategies from Chemical Structure to Perception Mechanisms.Molecules (Basel, Switzerland) · 2026Review
- A homoeriodictyol sodium mouthwash reduces bitterness sensitivity in patients with gynecological cancer receiving carboplatin-based chemotherapy.Scientific reports · 2026Article
- Activation of Extraoral Bitter Taste Receptors by Herbs and Spices in the Regulation of Incretin Signaling and Glucose Metabolism.Nutrition reviews · 2026Review
- Parthenolide promotes glucagon-like peptide-1 secreting in human Caco-2 cells via regulation of bitter taste receptor-induced of calcium signaling.Molecular and cellular biochemistry · 2026Article
- Bitter Compounds as Multifunctional Agents against Diabetes-associated Cognitive Dysfunction: Bridging Metabolic Regulation and Neuroprotection.Mini reviews in medicinal chemistry · 2026Review
- Computational screening of umami tastants using deep learning.Molecular diversity · 2025Article
- A systematic review of data and models for predicting food flavor and texture.Current research in food science · 2025Review
- AI-driven prediction of bitterness and sweetness and analysis of receptor interactions.Current research in food science · 2025Article
- Research on Bitter Peptides in the Field of Bioinformatics: A Comprehensive Review.International journal of molecular sciences · 2024Review
- Predicting multiple taste sensations with a multiobjective machine learning method.NPJ science of food · 2024Article
- Integrating Computational and Experimental Methods to Identify Novel Sweet Peptides from Egg and Soy Proteins.International journal of molecular sciences · 2024Article
- Article
- Prediction of bitterness based on modular designed graph neural network.Bioinformatics advances · 2024Article
- Bitter Phytochemicals as Novel Candidates for Skin Disease Treatment.Current issues in molecular biology · 2023Review
- Toward a general and interpretable umami taste predictor using a multi-objective machine learning approach.Scientific reports · 2022Article
- Article
- Identify Bitter Peptides by Using Deep Representation Learning Features.International journal of molecular sciences · 2022Article
- BitterMatch: recommendation systems for matching molecules with bitter taste receptors.Journal of cheminformatics · 2022Article
- New strategies for identifying and masking the bitter taste in traditional herbal medicines: The example of Huanglian Jiedu Decoction.Frontiers in pharmacology · 2022Article
- Informed classification of sweeteners/bitterants compounds via explainable machine learning.Current research in food science · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BitterX is an open-access tool aimed at providing a platform for identifying human bitter taste receptors, TAS2Rs, for small molecules. It predicts TAS2Rs from the molecular structures of arbitrary chemicals by integrating two individual functionalities: bitterant verification and TAS2R recognition. Using BitterX, several novel bitterants and their receptors were predicted and experimentally validated in the study. Therefore, BitterX may be an effective method for deciphering bitter taste coding and could be a useful tool for both basic bitter research in academia and new bitterant discoveries in the industry.
Indexed as
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.