ArticleNature communications2024
GTalign: spatial index-driven protein structure alignment, superposition, and search.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- LoL-align: sensitive and fast probabilistic protein structure alignment.Nature methods · 2026Article
- Benchmarking protein sequence and structure search methods for remote homology detection.Genome biology · 2026Article
- The bacterial swarming factor SwrD forms hexameric rings reminiscent of DNA-binding proteins.bioRxiv : the preprint server for biology · 2026Article
- Deep learning-based semantic matching of cis-regulatory DNA sequences facilitates the prediction of gene function.Nature plants · 2026Article
- Interrelational Proteomic Sequence Features Enhance Predictive Modeling: Application to COVID-19 Severity.Biomedicines · 2026Article
- Measuring and locating the changes in protein structure using MELO.Nature communications · 2026Article
- Exploring the protein universe with distant similarity detection methods.Protein science : a publication of the Protein Society · 2026Review
- In silico evolution of globular protein folds from random sequences.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Web-based GTalign: bridging speed and accuracy in protein structure analysis.Nucleic acids research · 2025Article
- epLSAP-Align: a non-sequential protein structural alignment solver with entropy-regularized partial linear sum assignment problem formulation.Bioinformatics (Oxford, England) · 2025Article
- Automated Engineering Protein Dynamics via Loop Grafting: ImprovingACS catalysis · 2025Article
- GTalign: spatial index-driven protein structure alignment, superposition, and search.Nature communications · 2024Article
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Authors and funding
1 author.
Funding
Abstract
With protein databases growing rapidly due to advances in structural and computational biology, the ability to accurately align and rapidly search protein structures has become essential for biological research. In response to the challenge posed by vast protein structure repositories, GTalign offers an innovative solution to protein structure alignment and search-an algorithm that achieves optimal superposition at high speeds. Through the design and implementation of spatial structure indexing, GTalign parallelizes all stages of superposition search across residues and protein structure pairs, yielding rapid identification of optimal superpositions. Rigorous evaluation across diverse datasets reveals GTalign as the most accurate among structure aligners while presenting orders of magnitude in speedup at state-of-the-art accuracy. GTalign's high speed and accuracy make it useful for numerous applications, including functional inference, evolutionary analyses, protein design, and drug discovery, contributing to advancing understanding of protein structure and function.
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Registered trials
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