ArticlemSystems2026
Experimental benchmarking remains crucial to the interpretation of sequence annotation data.
Article in mSystems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Comment on
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Determining the distribution and origin of bacterial synthesis of metabolites of interest relies on computational prediction of protein function. In their recent study, Lawrence and colleagues employed a rigorous pipeline for benchmarking their annotation methods (E. C. Lawrence, H. Pan, N. Ollikainen, and B. J. Belin, mSystems 11:e00619-26, 2026, https://doi.org/10.1128/msystems.00619-26). This allowed them to distinguish between related yet functionally distinct proteins, thereby refining their understanding of bacterial hopanoid production. They find that the ability to synthesize these compounds likely arose in marine alphaproteobacteria and is related to osmotic stress tolerance. This study additionally provides new insights into the extracellular transport of hopanoids. The combination of large-scale computational analysis with experimentally based benchmarking that they describe provides a useful model for any researcher interested in understanding bacterial biosynthetic capability.
Indexed as
Identifiers
42808721What Socratic 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 Socratic graph.