ArticleNature communications2020
Understanding the diversity of the metal-organic framework ecosystem.
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 114 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.
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Who cites it
114 citing papers in PubMed.
- Engineering metal-organic framework-based smart porous nanoplatforms for targeted therapy and theranostic applications.Smart molecules : open access · 2026Review
- Article
- Advances in MOF-Based Transdermal Drug Delivery Systems: Mechanisms, Applications, and Future Prospects.Topics in current chemistry (Cham) · 2026Review
- Recent advances in MOF-phosphate interaction-based bioanalysis: from enrichment to sensing.Mikrochimica acta · 2026Review
- Hierarchical crystal structure prediction of zeolitic imidazolate frameworks using DFT and machine-learned interatomic potentials.Chemical science · 2026Article
- GFN1-xTB-Assisted Machine Learning for Electronic Structure Screening of Metal-Organic Frameworks.Journal of chemical theory and computation · 2026Article
- Interaction topology theory deciphers multiscale codes of MOF-like materials.Science advances · 2026Article
- A Visualization Analysis of Machine Learning Applications in Gas Adsorption Using Nanoporous Materials.Nanomaterials (Basel, Switzerland) · 2026Article
- Interrogating the synthetic likelihood of metal-organic frameworks: a digital discovery perspective.Chemical science · 2026Review
- PoroNet: An Intrinsically Interpretable Pore Graph Neural Network for Resolving Pore-Level Adsorption in Metal-Organic Frameworks.Journal of chemical theory and computation · 2026Article
- Quantitative design principles for biofunctional metal-organic frameworks: Stability thresholds, biointerface energetics, and therapeutic applications.Materials today. Bio · 2026Review
- Predicting the Thermodynamic Limits of Metal-Organic Framework Metastability.Journal of the American Chemical Society · 2026Article
- Article
- Two-dimensional Pd-C bonded organometallic framework with dynamic packing transformations.Chemical science · 2026Article
- Decoding the unseen: unsupervised anomaly detection in metal-organic frameworks for discovery beyond the norm.Chemical science · 2026Article
- Direct synthesis of amorphous metal-organic frameworks from nanoclusters.Nature communications · 2026Article
- Recent Advances in Titanium-Based Metal-Organic Frameworks: Structure, Property, and Application in Photocatalysis.Molecules (Basel, Switzerland) · 2026Review
- Photoaccumulation of Long-Lived Reactive Electrons in a Microporous Ti(IV) Oxocluster-Based Metal-Organic Framework for Light and Dark Photocatalysis.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Functionalized Metal-Organic Frameworks Integrated with Plasmonic Nanoparticles: From Synthesis to Applications.Biosensors · 2026Review
- Computer-aided drug discovery: historical foundations, practical AI tools, and emerging ethical considerations.Frontiers in pharmacology · 2026Review
54 more citing papers are in PubMed but not listed here.
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
No grant is acknowledged in the PubMed record.
Abstract
Millions of distinct metal-organic frameworks (MOFs) can be made by combining metal nodes and organic linkers. At present, over 90,000 MOFs have been synthesized and over 500,000 predicted. This raises the question whether a new experimental or predicted structure adds new information. For MOF chemists, the chemical design space is a combination of pore geometry, metal nodes, organic linkers, and functional groups, but at present we do not have a formalism to quantify optimal coverage of chemical design space. In this work, we develop a machine learning method to quantify similarities of MOFs to analyse their chemical diversity. This diversity analysis identifies biases in the databases, and we show that such bias can lead to incorrect conclusions. The developed formalism in this study provides a simple and practical guideline to see whether new structures will have the potential for new insights, or constitute a relatively small variation of existing structures.
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.