Catalytic Site Proximity Profiling for Functional Unification of Sequence-Diverse Radical

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

5 citing papers in PubMed, 18 citations in OpenAlex.

1. Squidly harnesses enzyme functional hierarchy and contrastive learning to efficiently predict catalytic residues from sequence.eLife · 2026
   Article
2. Structure-based discovery and definition of RiPP recognition elements.mSystems · 2025
   Article
3. Limitations of current machine learning models in predicting enzymatic functions for uncharacterized proteins.G3 (Bethesda, Md.) · 2025
   Article
4. Radical SAM Enzyme WprB Catalyzes Uniform Cross-Link Topology between Trp-C5 and Arg-Cγ on the Precursor Peptide.ACS chemical biology · 2025
   Article
5. Discovery and engineering of ribosomally synthesized and post-translationally modified peptide (RiPP) natural products.RSC chemical biology · 2024
   Review

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 at 2 institutions in 1 country.

Funding

Abstract