Evidence map›Paper›PMID 42367995›Full record

ArticlebioRxiv : the preprint server for biology2026

Whole-proteome structure/function prediction in Uropathogenic

Chunxiang Peng, Henry Schreiber, Chengxin Zhang, Quancheng Liu, Scott Hultgren, Lydia Freddolino

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chunxiang PengDepartment of Biological Chemistry, University of Michigan, Ann Arbor, MI, 48109 USA.
Henry SchreiberDepartment of Molecular Microbiology, Washington University, St. Louis, MO, 63130 USA.
Chengxin ZhangGilbert S Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109 USA.ORCID 0000-0001-7290-1324
Quancheng LiuGilbert S Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109 USA.
Scott HultgrenDepartment of Molecular Microbiology, Washington University, St. Louis, MO, 63130 USA.
Lydia FreddolinoDepartment of Biological Chemistry, University of Michigan, Ann Arbor, MI, 48109 USA.ORCID 0000-0002-5821-4226

Funding

Structure-based functional annotation of microbial genomesR01AI134678 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lydia Petra Freddolino, SCOTT J. HULTGREN · 2018 to 2026
$6.5M
NIAID NIH HHS R01 AI134678
6 · The paper itself

Abstract

The rapid advancement of high-throughput sequencing technologies has vastly increased the number of known protein sequences, but the experimental characterization of their structures and functions lags behind. This gap in knowledge impedes our understanding of biological mechanisms of these proteins, hinders the interpretation of high-throughput experiments, and exposes a significant challenge in modern biology: deducing the structural and functional information of proteins based on their sequences. Most computational approaches rely on homology with well-annotated proteins, yet many proteins lack identifiable homologues, reducing the power of this approach. Here, we integrated cutting-edge protein structure and function prediction methods to develop a complete sequence-structure-function pipeline that predicts structures and functions based on primary sequences. We applied this pipeline to predict the structure and function of all proteins in

Identifiers

PMID42367995
PMCPMC13308129

What OpenQuestion holds

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Registered trials

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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.