ArticleCell systems2025
Shaping the uncharted: Revealing the protein structure space from the perspective of generative models.
Article in Cell systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- How to frustrate a plant pathogen.The Plant journal : for cell and molecular biology · 2026Review
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Generative models can now design a diverse set of protein backbones, yet the quantification of distributional similarities of protein structure embeddings revealed that current models fail to capture the full spectrum of structural elements at different hierarchical levels. SHAPES (structural and hierarchical assessment of proteins with embedding similarity) quantifies these gaps and delivers a benchmark to guide next-generation protein design.
Indexed as
Identifiers
40840426What 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.