ReviewFrontiers in chemistry2019
Deep Learning for Deep Chemistry: Optimizing the Prediction of Chemical Patterns.
Review in Frontiers in chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 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
39 citing papers in PubMed.
- Carbon halogen bond dissociation energy predictions through automated machine learning pipeline.Scientific reports · 2026Article
- Artificial Intelligence in Analytical Chemistry: Towards Yet Undiscovered Opportunities.Analytical chemistry · 2026Review
- A machine learning approach for predicting osmotic coefficients and deriving activity coefficients in alkyl ammonium salts.Scientific reports · 2026Article
- Intelligent quantification of formaldehyde in aquatic product soaking solutions via a novel deep regression framework.Frontiers in nutrition · 2026Article
- Integrating chemical artificial intelligence and cognitive computing for predictive analysis of biological pathways: a case for intrinsically disordered proteins.Biophysical reviews · 2025Review
- Bioactive structures for inhibitors ofFuture medicinal chemistry · 2025Article
- Structural Similarity, Activity, and Toxicity of Mycotoxins: Combining Insights from Unsupervised and Supervised Machine Learning Algorithms.Journal of agricultural and food chemistry · 2025Article
- Hydrogen Evolution Reaction of Electrodeposited Ni-W Films in Acidic Medium and Performance Optimization Using Machine Learning.ChemSusChem · 2025Article
- Design rules applied to silver nanoparticles synthesis: A practical example of machine learning application.Computational and structural biotechnology journal · 2024Article
- Comparing SMILES and SELFIES tokenization for enhanced chemical language modeling.Scientific reports · 2024Article
- Article
- VenomPred 2.0: A NovelJournal of chemical information and modeling · 2024Article
- Force Field Analysis Software and Tools (FFAST): Assessing Machine Learning Force Fields under the Microscope.Journal of chemical theory and computation · 2023Article
- Identification of New GSK3β Inhibitors through a Consensus Machine Learning-Based Virtual Screening.International journal of molecular sciences · 2023Article
- Analysis of metabolites in human gut: illuminating the design of gut-targeted drugs.Journal of cheminformatics · 2023Article
- Iterative multiscale and multi-physics computations for operando catalyst nanostructure elucidation and kinetic modeling.iScience · 2023Review
- Review
- Navigating with chemometrics and machine learning in chemistry.Artificial intelligence review · 2023Article
- Machine Learning Spectroscopy Using a 2-Stage, Generalized Constituent Contribution Protocol.Research (Washington, D.C.) · 2023Article
- In-Silico Approaches for the Screening and Discovery of Broad-Spectrum Marine Natural Product Antiviral Agents Against Coronaviruses.Infection and drug resistance · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Computational Chemistry is currently a synergistic assembly between
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.