Evidence map›Paper›PMID 22883815›Full record

ArticleBMC bioinformatics2012

GalaxyTBM: template-based modeling by building a reliable core and refining unreliable local regions.

Junsu Ko, Hahnbeom Park, Chaok Seok

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Article in BMC bioinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

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53citing papers in PubMed
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3 · Its place in the literature

Who cites it

53 citing papers in PubMed.

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  9. Review
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  12. Multi-epitope Based Peptide Vaccine Candidate AgainstBioinformatics and biology insights · 2024
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  19. In silico analysis of a Skp1 protein homolog from the human pathogenJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2022
    Article
  20. Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Junsu KoDepartment of Chemistry, Seoul National University, Seoul, 151-747, Republic of Korea. chaok@snu.ac.kr
Hahnbeom Park
Chaok Seok

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProtein structures can be reliably predicted by template-based modeling (TBM) when experimental structures of homologous proteins are available. However, it is challenging to obtain structures more accurate than the single best templates by either combining information from multiple templates or by modeling regions that vary among templates or are not covered by any templates.

resultsWe introduce GalaxyTBM, a new TBM method in which the more reliable core region is modeled first from multiple templates and less reliable, variable local regions, such as loops or termini, are then detected and re-modeled by an ab initio method. This TBM method is based on "Seok-server," which was tested in CASP9 and assessed to be amongst the top TBM servers. The accuracy of the initial core modeling is enhanced by focusing on more conserved regions in the multiple-template selection and multiple sequence alignment stages. Additional improvement is achieved by ab initio modeling of up to 3 unreliable local regions in the fixed framework of the core structure. Overall, GalaxyTBM reproduced the performance of Seok-server, with GalaxyTBM and Seok-server resulting in average GDT-TS of 68.1 and 68.4, respectively, when tested on 68 single-domain CASP9 TBM targets. For application to multi-domain proteins, GalaxyTBM must be combined with domain-splitting methods.

conclusionApplication of GalaxyTBM to CASP9 targets demonstrates that accurate protein structure prediction is possible by use of a multiple-template-based approach, and ab initio modeling of variable regions can further enhance the model quality.

Indexed as

Models, MolecularStructural Homology, ProteinProteinsSequence AlignmentSoftwareProteins

Identifiers

PMID22883815
PMCPMC3462707

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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.