ArticleNature communications2020
Machine learning for chemical discovery.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 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
43 citing papers in PubMed.
- Review
- Accurate and task-agnostic modeling of enzymatic reactions through multimodal relational learning.Acta pharmaceutica Sinica. B · 2026Article
- Real-space machine learning of correlation density functionals.Nature communications · 2025Article
- KGG: Knowledge-Guided Graph Self-Supervised Learning to Enhance Molecular Property Predictions.Journal of chemical information and modeling · 2025Article
- Machine Learning Densities, Detonation Velocities, and Formation Enthalpies of Energetic Materials Using Quantum Chemistry Descriptors.Journal of chemical theory and computation · 2025Article
- A bibliometric analysis of the Cheminformatics/QSAR literature (2000-2023) for predictive modeling in data science using the SCOPUS database.Molecular diversity · 2025Review
- IAT4, a New Indolamine N-Acetyltransferase in Saccharomyces cerevisiae Involved in Melatonin Biosynthesis.Journal of pineal research · 2025Article
- A machine learning method for predicting molecular antimicrobial activity.Scientific reports · 2025Article
- Deepmol: an automated machine and deep learning framework for computational chemistry.Journal of cheminformatics · 2024Article
- Machine Learning Approach to Vertical Energy Gap in Redox Processes.Journal of chemical theory and computation · 2024Article
- Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments.Science advances · 2024Article
- Machine Learning Prediction of Quantum Yields and Wavelengths of Aggregation-Induced Emission Molecules.Materials (Basel, Switzerland) · 2024Article
- Spectroscopy-Guided Deep Learning Predicts Solid-Liquid Surface Adsorbate Properties in Unseen Solvents.Journal of the American Chemical Society · 2024Article
- A knowledge-guided pre-training framework for improving molecular representation learning.Nature communications · 2023Article
- "Freedom of design" in chemical compound space: towards rationalChemical science · 2023Article
- Ab initio quantum chemistry with neural-network wavefunctions.Nature reviews. Chemistry · 2023Review
- Machine Learning Techniques Applied to the Study of Drug Transporters.Molecules (Basel, Switzerland) · 2023Review
- Retention time prediction for chromatographic enantioseparation by quantile geometry-enhanced graph neural network.Nature communications · 2023Article
- Molecular Design of Luminescent Complexes of Eu(III): What Can We Learn from the Ligands.Molecules (Basel, Switzerland) · 2023Article
- Non-Specific Responsive Nanogels and Plasmonics to Design MathMaterial Sensing Interfaces: The Case of a Solvent Sensor.Sensors (Basel, Switzerland) · 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
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.