ArticleACS catalysis2025
Experimental Lineage and Computational Analysis of a General Aminoxyl-Based Oxidation Catalyst: Generality from Substrate-Specific Interactions.
Article in ACS catalysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Chiral Analysis for High-Throughput Reaction Screening: Recent Advances in Accelerating Asymmetric Catalysis Discovery.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026Review
- Recognition of a Conserved Minimal Catalaphile Explains Catalyst Generality in Enantioselective Nitroalkene Reductions.ACS catalysis · 2026Article
- A Bifunctional Aminoxyl-Bipyridine Peptide Catalyst for the Atroposelective Copper-Catalyzed Aerobic Oxidation of Biaryl Diols.Journal of the American Chemical Society · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Traditionally, catalyst optimization in asymmetric catalysis is approached as an iterative, heuristic-based process, where point modifications of a hit catalyst are tested against one (or a small number of) model substrate(s). While optimization to high levels of selectivity is sometimes successful, catalyst generality with respect to substrate scope (i.e., its ability to deliver a diverse set of target products with consistently high levels of selectivity) is more elusive. This work describes and models computationally a successful peptide catalyst optimization campaign carried out on a verifiably diverse set of substrates, which delivered a highly selective and general chiral catalyst. The success of every generational improvement of the catalyst design is now rationalized with atomistic resolution by
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.