ArticleFrontiers in chemistry2018
e-Bitter: Bitterant Prediction by the Consensus Voting From the Machine-Learning Methods.
Article in Frontiers in chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed.
- FlavorGPN: a graph neural network for multi-label molecular flavor prediction.Molecular diversity · 2026Article
- 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
- 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
- A systematic review of data and models for predicting food flavor and texture.Current research in food science · 2025Review
- FlavorMiner: a machine learning platform for extracting molecular flavor profiles from structural data.Journal of cheminformatics · 2024Article
- Predicting multiple taste sensations with a multiobjective machine learning method.NPJ science of food · 2024Article
- Article
- A Comprehensive Comparative Analysis of Deep Learning Based Feature Representations for Molecular Taste Prediction.Foods (Basel, Switzerland) · 2023Article
- Data-Driven Elucidation of Flavor Chemistry.Journal of agricultural and food chemistry · 2023Review
- Toward a general and interpretable umami taste predictor using a multi-objective machine learning approach.Scientific reports · 2022Article
- Article
- A survey on computational taste predictors.European food research and technology = Zeitschrift fur Lebensmittel-Untersuchung und -Forschung. A · 2022Review
- Computational gastronomy: A data science approach to food.Journal of biosciences · 2022Article
- Informed classification of sweeteners/bitterants compounds via explainable machine learning.Current research in food science · 2022Article
- Prediction of flavor and retention index for compounds in beer depending on molecular structure using a machine learning method.RSC advances · 2021Article
- iBitter-Fuse: A Novel Sequence-Based Bitter Peptide Predictor by Fusing Multi-View Features.International journal of molecular sciences · 2021Article
- Bitter Taste and Olfactory Receptors: Beyond Chemical Sensing in the Tongue and the Nose.The Journal of membrane biology · 2021Article
- e-Graphene: A Computational Platform for the Prediction of Graphene-Based Drug Delivery System by Quantum Genetic Algorithm and Cascade Protocol.Frontiers in chemistry · 2021Article
- RF-PCA: A New Solution for Rapid Identification of Breast Cancer Categorical Data Based on Attribute Selection and Feature Extraction.Frontiers in genetics · 2020Article
- BitterSweet: Building machine learning models for predicting the bitter and sweet taste of small molecules.Scientific reports · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.