Evidence map›Paper›PMID 40637689›Full record

ArticleBioinformatics (Oxford, England)2025

GeomeTRe: accurate calculation of geometrical descriptors of tandem repeat proteins.

Zarifa Osmanli, Elisa Ferrero, Alexander Miguel Monzon, Silvio C E Tosatto, Damiano Piovesan

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Article in Bioinformatics (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Zarifa OsmanliDepartment of Biomedical Sciences, University of Padova, Padova, 35121, Italy.
Elisa FerreroDepartment of Biomedical Sciences, University of Padova, Padova, 35121, Italy.
Alexander Miguel MonzonDepartment of Biomedical Sciences, University of Padova, Padova, 35121, Italy.ORCID 0000-0003-0362-8218
Silvio C E TosattoDepartment of Biomedical Sciences, University of Padova, Padova, 35121, Italy.ORCID 0000-0003-4525-7793
Damiano PiovesanDepartment of Biomedical Sciences, University of Padova, Padova, 35121, Italy.ORCID 0000-0001-8210-2390

Funding

European Cooperation in Science and TechnologyNational Center for Gene Therapy and Drugs based on RNA Technology CN00000041
6 · The paper itself

Abstract

motivationStructured tandem repeat proteins (STRPs) are characterized by preserved structural motifs arranged in a modular way. The structural and functional diversity of STRPs makes them particularly important for studying evolution and novel structure-function relationships, and ultimately for designing new synthetic proteins with specific functions. One crucial aspect of their classification is the estimation of geometrical parameters, which can provide better insight into their properties and the relationship between the spatial arrangement of repeated units and protein function. Calculating geometric descriptors for STRPs is challenging because naturally occurring repeats are not "perfect" and often contain insertions and deletions. Existing tools for predicting structural symmetry work well on simple cases but often fail for most natural proteins.

resultsHere, we present GeomeTRe, an algorithm that calculates geometrical descriptors such as curvature (yaw), twist (roll), and pitch for a protein structure with known repeat unit positions. The algorithm simulates the movement of consecutive units, identifies rotational axes, and calculates the corresponding Tait-Bryan angles. GeomeTRe's parameters can enhance STRP annotation and classification by identifying variations in geometric arrangements among different functional groups. The package is fast and suitable for processing large protein structure datasets when repeat region information (e.g. from RepeatsDB) is available. AVAILABILITY AND IMPLEMENTATION: GeomeTRe is available as a Python package; source code and documentation can be found at https://github.com/BioComputingUP/GeomeTRe.

Indexed as

AlgorithmsComputational BiologyProteinsSoftwareTandem Repeat SequencesDatabases, ProteinModels, MolecularProtein ConformationProteins

Identifiers

PMID40637689
PMCPMC12308183

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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.