Evidence map›Paper›PMID 39414627›Full record

ArticleArchives of virology2024

Proteome-scale structural prediction of the giant Marseillevirus reveals conserved folds and putative homologs of the hypothetical proteins.

Tanvi Aggarwal, Kiran Kondabagil

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Article in Archives of virology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

2 authors.

Tanvi AggarwalDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai, India.
Kiran KondabagilDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai, India. kirankondabagil@gmail.com.ORCID http://orcid.org/0000-0002-7942-023X

Funding

Board of Research in Nuclear Sciences 58/14/11/2020-BRNS/37188Department of Biotechnology, Ministry of Science and Technology, India BT/PR35928/BRB/10/1979/2021Science and Engineering Research Board CRG/2023/00131
6 · The paper itself

Abstract

A significant proportion of the highly divergent and novel proteins of giant viruses are termed "hypothetical" due to the absence of detectable homologous sequences in the existing databases. The quality of genome and proteome annotations often relies on the identification of signature sequences and motifs in order to assign putative functions to the gene products. These annotations serve as the first set of information for researchers to develop workable hypotheses for further experimental research. The structure-function relationship of proteins suggests that proteins with similar functions may also exhibit similar folding patterns. Here, we report the first proteome-wide structure prediction of the giant Marseillevirus. We use AlphaFold-predicted structures and their comparative analysis with the experimental structures in the PDB database to preliminarily annotate the viral proteins. Our work highlights the conservation of structural folds in proteins with highly divergent sequences and reveals potentially paralogous relationships among them. We also provide evidence for gene duplication and fusion as contributing factors to giant viral genome expansion and evolution. With the easily accessible AlphaFold and other advanced bioinformatics tools for high-confidence de novo structure prediction, we propose a combined sequence and predicted-structure-based proteome annotation approach for the initial characterization of novel and complex organisms or viruses.

Indexed as

Genome, ViralProteomeViral ProteinsAmino Acid SequenceComputational BiologyGiant VirusesProtein ConformationProtein FoldingProteomeViral ProteinsAlphaFold2Giant virusHorizontal gene transferNucleocytoplasmic large DNA virusesORFansProtein annotation

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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.