Evidence map›Paper›PMID 40604267›Full record

ReviewNature protocols2026

A graphic and command line protocol for quick and accurate comparisons of protein and nucleic acid structures with US-align.

Chengxin Zhang, Lydia Freddolino, Yang Zhang

Abstract readReview
In one paragraph

Review in Nature protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Whole-proteome structure/function prediction in UropathogenicbioRxiv : the preprint server for biology · 2026
    Article
  3. Sequence and structural alignments reveal insights into ANKLE2 evolution and function.Protein science : a publication of the Protein Society · 2026
    Article
  4. Article
  5. Article
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

3 authors.

Chengxin ZhangCAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Lydia FreddolinoGilbert S Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA. lydsf@umich.edu.ORCID 0000-0002-5821-4226
Yang ZhangDepartment of Computer Science, School of Computing, National University of Singapore, Singapore, Singapore. zhang@zhanggroup.org.ORCID 0000-0002-2739-1916

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
Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID) AI134678National University of SingaporeNIAID NIH HHS R01 AI134678
6 · The paper itself

Abstract

With the success of structural biology and the advancements in deep-learning-based structure predictions, rapid and accurate structural comparisons among macromolecular structures have become increasingly important in structural bioinformatics. US-align is a highly efficient, versatile, open-source program for sequential and nonsequential structure comparisons of proteins, RNAs and DNAs in pairwise and multiple alignment forms and applicable to both monomeric and multimeric complex structures. The core algorithm of US-align is built on a highly optimized, iterative superimposition and dynamic programming alignment process, guided with a unified and sequence length-independent scoring function, TM-score. The unique design of US-align not only ensures its high accuracy and speed compared with other state-of-the-art methods designed for specific alignment tasks but also makes it the only protocol that can be applied to multiple alignment tasks and allow a structural comparison across different molecular types, the latter of which is critical for template-based heteromolecular structure prediction and function annotations. Here we describe how to install and effectively utilize US-align as a command line tool, as an online web server, and as a plugin to commonly used molecular graphic systems such as PyMOL. US-align installation takes a few minutes to setup, while the actual alignment implementation can be completed typically within 1 s.

Indexed as

Computational BiologyDNANucleic AcidsProteinsRNASequence AlignmentSoftwareAlgorithmsModels, MolecularNucleic Acid ConformationProtein ConformationDNANucleic AcidsProteinsRNA

Identifiers

PMID40604267
PMCPMC13373882

What OpenQuestion holds

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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.