ReviewNature reviews. Chemistry2024
Molecular complexity as a driving force for the advancement of organic synthesis.
Review in Nature reviews. Chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed.
- AIMNet2-rxn: A machine-learned potential for generalized reaction modeling on a millions-of-pathways scale.Science advances · 2026Article
- Implementing modular design principles for molecular homogeneous catalyst discovery.Catalysis science & technology · 2026Review
- On-DNA photochemical methods for expanding DNA-encoded library (DEL) chemical space.RSC medicinal chemistry · 2026Review
- Organocatalytic enantioselective synthesis and derivatizations of bridgedChemical science · 2026Article
- Cyclic sulfone ring remodeling enables molecular shape diversity-oriented synthesis of privileged biaryl and oligoaryl motifs.Nature communications · 2026Article
- Therapeutic Applications of Natural Products in Biomedicine and Pharmacotherapy.Life (Basel, Switzerland) · 2026Review
- Reactive machine learning potential for accelerating transition state search in organic synthesis.Nature communications · 2026Article
- Staged Diversity-Constrained Machine Learning for High-Dimensional Reaction Condition Optimization.Angewandte Chemie (International ed. in English) · 2026Article
- Nickel-catalyzed ring-opening difunctionalization of methylenecyclobutanes via strain-release-enabled C-C activation.Nature communications · 2026Article
- Higher-Level Strategies for Computer-Aided Retrosynthesis.ACS central science · 2026Article
- Molecular Complexity Constrained Early Amino Acid Recruitment into the Genetic Code.Genome biology and evolution · 2026Article
- Enantioselective C-H functionalization: logic and applications in the total synthesis of natural products.Chemical science · 2026Review
- Accessing Molecular Complexity from Methane and Other Gaseous Alkanes via Photocatalytic Cascade Cyclization.Angewandte Chemie (International ed. in English) · 2026Article
- Article
- Lanthanide Nanotheranostics in Radiotherapy.International journal of molecular sciences · 2025Review
- Article
- One-Step Biomimetic Synthesis of the Alkaloids Karachine, Valachine, and Sinometumine E.Organic letters · 2025Article
- Catalytic Enantioselective Perezone-Type [5 + 2] Cycloaddition.Journal of the American Chemical Society · 2025Article
- MolPrice: assessing synthetic accessibility of molecules based on market value.Journal of cheminformatics · 2025Article
- A View on Molecular Complexity from the GDB Chemical Space.Journal of chemical information and modeling · 2025Review
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
Abstract
The generation of molecular complexity is a primary goal in the field of synthetic chemistry. In the context of retrosynthetic analysis, the concept of molecular complexity is central to identifying productive disconnections and the development of efficient total syntheses. However, this field-defining concept is frequently invoked on an intuitive basis without precise definition or appreciation of its subtleties. Methods for quantifying molecular complexity could prove useful for characterizing the state of synthesis in a more rigorous, reliable and reproducible fashion. As a first step to evaluating the importance of these methods to the state of the field, here we present our perspective on the development of molecular complexity quantification and its implications for chemical synthesis. The extension and application of these methods beyond computer-aided synthesis planning and medicinal chemistry to the traditional practice of 'complex molecule' synthesis could have the potential to unearth new opportunities and more efficient approaches for synthesis.
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.