Evidence map›Paper›PMID 41163446›Full record

ArticleNucleic acids research2026

QSProteome: a community-driven interactive platform for large-scale exploration and evaluation of predicted protein complex structures.

Edward A Catoiu, Delina Kambo, Brianna Rodriguez, Krista Vear, Ziheng Wang, June Akpata, Jaladhi Shah, Rayyan Ayoub, Matthew Hofmann, Keerthana Ananda and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Edward A CatoiuDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States.ORCID 0000-0001-8680-7291
Delina KamboDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States.
Brianna RodriguezDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States.
Krista VearDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States.
Ziheng WangDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States.
June AkpataDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States.
Jaladhi ShahDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States.
Rayyan AyoubDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States.
Matthew HofmannDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States.
Keerthana AnandaDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States.
Avani TantryDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States.
Ishita GuptaDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States.
Robin AnwylDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States.ORCID 0009-0008-7528-0365
Carter FaucherDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States.
Jordan NicholsDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States.
Brian TonDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States.
Lorenzo O MarchalDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States.
Bernhard O PalssonDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States.ORCID 0000-0003-2357-6785

Funding

GENOMICALLY BASED MODELS FOR ANTIBIOTIC DEVELOPMENTR01GM057089 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 1998 to 2021
$6.9M
NIGMS NIH HHS R01 GM057089NIH HHS R01 GM057089Novo Nordisk Foundation NNF20CC0035580
6 · The paper itself

Abstract

QSProteome (https://QSProteome.org) is a community-scale platform for modeling, evaluating, and refining quaternary protein structure. The resource hosts 35 528 unique modeled assemblies spanning over 42 000 genes, covering nearly all curated complexes in BioCyc and ComplexPortal databases. Each model is displayed on an interactive page with 3D visualization, chain-level confidence metrics, structural alignments, functional annotations, and automated stoichiometry checks against database expectations. A cloud-based server supports continuous user uploads and automated processing pipelines-enabling submission and validation of >54 000 models within 14 weeks. To promote iterative refinement, QSProteome includes a gamified re-curation workflow that transitions users from training modules into live curation, enabling the community-led assessment of 1547 ABC transporter complexes. Together, these components form a dynamic, scalable infrastructure for proteome-scale structural biology. By unifying modeling, validation, and annotation in a reusable, searchable, and community-extensible framework, QSProteome enables proteome-scale structure accessibility and reuse-powering discovery, annotation, and collaborative refinement across the structural biology community.

Indexed as

Databases, ProteinMultiprotein ComplexesProteomeProteomicsSoftwareATP-Binding Cassette TransportersInternetModels, MolecularMolecular Sequence AnnotationProtein Structure, QuaternaryATP-Binding Cassette TransportersMultiprotein ComplexesProteome

Identifiers

PMID41163446
PMCPMC12807603

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.