ArticleExpert opinion on drug discovery2021
Assigning confidence to molecular property prediction.
Article in Expert opinion on drug discovery, 2021. 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.
- Uncertainty Quantification with Domain Classification Models for Acetylcholinesterase Inhibition.Journal of chemical information and modeling · 2026Article
- Synthesis and machine learning techniques to enable data-driven investigation of supramolecular host-guest interactions.Chemical science · 2026Article
- A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era.Journal of chemical theory and computation · 2026Review
- Molecular Design with Artificial Intelligence: Progress and Perspectives for Small Molecules.Chemical reviews · 2026Review
- Molecular deep learning at the edge of chemical space.Nature machine intelligence · 2026Article
- Quantum-computing-enhanced algorithm unveils potential KRAS inhibitors.Nature biotechnology · 2025Article
- Studying Noncovalent Interactions in Molecular Systems with Machine Learning.Chemical reviews · 2025Review
- Benchmarking uncertainty quantification for protein engineering.PLoS computational biology · 2025Article
- AbLEF: antibody language ensemble fusion for thermodynamically empowered property predictions.Bioinformatics (Oxford, England) · 2024Article
- Fast and effective molecular property prediction with transferability map.Communications chemistry · 2024Article
- Relationship between prediction accuracy and uncertainty in compound potency prediction using deep neural networks and control models.Scientific reports · 2024Article
- Artificial design of organic emittersChemical science · 2024Article
- CRAFTED: An exploratory database of simulated adsorption isotherms of metal-organic frameworks.Scientific data · 2023Article
- Explainable uncertainty quantifications for deep learning-based molecular property prediction.Journal of cheminformatics · 2023Article
- Multitask Deep Ensemble Prediction of Molecular Energetics in Solution: From Quantum Mechanics to Experimental Properties.Journal of chemical theory and computation · 2023Article
- Deep generative molecular design reshapes drug discovery.Cell reports. Medicine · 2022Review
- Parallel tempered genetic algorithm guided by deep neural networks for inverse molecular design.Digital discovery · 2022Article
- Multi-fidelity prediction of molecular optical peaks with deep learning.Chemical science · 2022Article
- A Novel Molecular Representation Learning for Molecular Property Prediction with a Multiple SMILES-Based Augmentation.Computational intelligence and neuroscience · 2022Article
- On scientific understanding with artificial intelligence.Nature reviews. Physics · 2022Review
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.
Funding
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.