Evidence map›Paper›PMID 42758801›Full record

ArticlePLoS computational biology2026

Domain classification of archaeal proteomes reveals conserved fold repertoire.

R Dustin Schaeffer, Jimin Pei, Rui Guo, Jing Zhang, Kirill Medvedev, Qian Cong, Nick Grishin

Abstract read
In one paragraph

Article in PLoS computational 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

7 authors.

R Dustin SchaefferDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.ORCID https://orcid.org/0000-0001-6502-1425
Jimin PeiEugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
Rui GuoDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
Jing ZhangEugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
Kirill MedvedevDepartment of Computer Science, University of Central Florida, Orlando, Florida, United States of America.ORCID https://orcid.org/0000-0002-7982-4242
Qian CongEugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
Nick GrishinDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.

Funding

ECOD: Large scale classification of predicted and experimental protein structuresR01GM147367 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI Richard Dustin Schaeffer · 2023 to 2026
$1.4M
Harnessing the Power of Data and Artificial Intelligence to Resolve the Human 3D InteractomeR35GM160468 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI Qian Cong · 2025 to 2026
$883k
Functions of Rapidly-Evolving Proteins and Their Roles in PathogenicityK99AI180984 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI ZHANG, JING · 2024 to 2025
$210k
NIAID NIH HHS K99 AI180984NIGMS NIH HHS R01 GM147367NIGMS NIH HHS R35 GM160468
6 · The paper itself

Abstract

Archaea represent one of the three domains of cellular life and yet account for fewer than 1% of experimentally determined protein structures, leaving the extent of their structural novelty unknown. Here we present a systematic domain-level classification of 124,075 proteins from 65 archaeal classes spanning 21 phyla and all major lineages, using both AFDB and newly predicted AlphaFold3 structures classified against the Evolutionary Classification of protein Domains (ECOD). Archaeal proteins span 987 of the 2,457 ECOD X-groups defined across all cellular life, roughly 40% of known fold diversity captured within a single domain of life. Clustering by Foldseek recovered structural relationships for 63% of domains that are singletons by sequence comparison. To characterize the 21% of proteins lacking high-confidence classification, we applied successive filters for structure prediction confidence, protein length, and structural cluster context, reducing 8,452 domain-free proteins to a small number of well-folded structural orphans (less than 0.1% of the dataset). The unclassified fraction is dominated by sub-threshold matches (matches below the 0.85 DPAM confidence cutoff for high-confidence T-group assignment) to known folds (14% of all proteins) and low-confidence structure predictions (5%), not by novel structures. These results demonstrate that the protein fold repertoire at the single-domain level is broadly conserved across the deepest phylogenetic distances in cellular life, and that the gap between archaeal and well-characterized proteomes reflects classification sensitivity for divergent sequences rather than unexplored structural diversity.

Indexed as

ArchaeaArchaeal ProteinsProteomeAmino Acid SequenceComputational BiologyConserved SequenceDatabases, ProteinEvolution, MolecularModels, MolecularProtein DomainsProtein FoldingArchaeal ProteinsProteome

Identifiers

PMID42758801
PMCPMC13607799

What OpenQuestion holds

Textmetadata
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.