ArticleNature2019
Bigger is better in virtual drug screens.
Article in Nature, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed.
- Big Data and Artificial Intelligence in Cancer Drug Discovery: Promise, Challenges, and Emerging Opportunities.Cancers · 2026Review
- Pushing the boundaries of virtual screening scale of combinatorial spaces with the V-SYNTHES approach.npj drug discovery · 2026Article
- AI-enhanced adaptive virtual screening of large libraries for ligand discovery.Nature biotechnology · 2026Article
- AI-Enhanced Adaptive Virtual Screening Platform Enabling Exploration of 69 Billion Molecules Discovers Structurally Validated FSP1 Inhibitors.bioRxiv : the preprint server for biology · 2026Article
- A Benchmark Set of Bioactive Molecules for Diversity Analysis of Compound Libraries and Combinatorial Chemical Spaces.Journal of chemical information and modeling · 2025Article
- A bottom-up approach to find lead compounds in expansive chemical spaces.Communications chemistry · 2025Article
- Deep learning in GPCR drug discovery: benchmarking the path to accurate peptide binding.Briefings in bioinformatics · 2025Article
- A review of large language models and autonomous agents in chemistry.Chemical science · 2025Review
- Article
- Integrating multiscale and machine learning approaches towards the SAMPL9 logPhysical chemistry chemical physics : PCCP · 2024Article
- Targeting the hSSB1-INTS3 Interface: A Computational Screening Driven Approach to Identify Potential Modulators.ACS omega · 2024Article
- ChemMORT: an automatic ADMET optimization platform using deep learning and multi-objective particle swarm optimization.Briefings in bioinformatics · 2024Article
- Synthesis, crystal structure, biological and docking studies of 5-hydroxy-2-{[(2-methylpropyl)iminio]methyl}phenolate.Future medicinal chemistry · 2024Article
- Graph neural networks are promising for phenotypic virtual screening on cancer cell lines.Biology methods & protocols · 2024Article
- A practical guide to machine-learning scoring for structure-based virtual screening.Nature protocols · 2023Review
- Chemical Space Virtual Screening against Hard-to-Drug RNA Methyltransferases DNMT2 and NSUN6.International journal of molecular sciences · 2023Article
- Bio-activity prediction of drug candidate compounds targeting SARS-Cov-2 using machine learning approaches.PloS one · 2023Article
- Construction of a synthetic methodology-based library and its application in identifying a GIT/PIX protein-protein interaction inhibitor.Nature communications · 2022Article
- Chemical space docking enables large-scale structure-based virtual screening to discover ROCK1 kinase inhibitors.Nature communications · 2022Article
- Bespoke library docking for 5-HTNature · 2022Article
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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Identifiers
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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.