Evidence map›Paper›PMID 42360557›Full record

ArticleBiodegradation2026

Predicting the metalloproteome of Deinococcus indicus DR1 through integrative structure and function annotation.

Sweety Deena Ramesh, Giri Vasan, Shricharan Senthilkumar, Menaka Thambiraja, Deepa Sethi, Richa Priyadarshini, Ragothaman M Yennamalli

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Article in Biodegradation, 2026. 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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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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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

7 authors.

Sweety Deena RameshDepartment of Bioinformatics, School of Chemical and Biotechnology, SASTRA Deemed University, 202, ASK-2, Thanjavur, Tamil Nadu, 613401, India.
Giri VasanDepartment of Bioinformatics, School of Chemical and Biotechnology, SASTRA Deemed University, 202, ASK-2, Thanjavur, Tamil Nadu, 613401, India.
Shricharan Senthilkumar *Department of Bioinformatics, School of Chemical and Biotechnology, SASTRA Deemed University, 202, ASK-2, Thanjavur, Tamil Nadu, 613401, India.
Menaka Thambiraja *Department of Bioinformatics, School of Chemical and Biotechnology, SASTRA Deemed University, 202, ASK-2, Thanjavur, Tamil Nadu, 613401, India.
Deepa SethiDepartment of Life Sciences, School of Natural Sciences, Shiv Nadar Institution of Eminence, Gautam Buddha Nagar, Uttar Pradesh, India.
Richa PriyadarshiniDepartment of Life Sciences, School of Natural Sciences, Shiv Nadar Institution of Eminence, Gautam Buddha Nagar, Uttar Pradesh, India. richa.priyadarshini@snu.edu.in.ORCID http://orcid.org/0000-0002-8613-9438
Ragothaman M YennamalliSchool of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India. ragothaman@jnu.ac.in.ORCID http://orcid.org/0000-0002-3327-1582

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deinococcus indicus DR1, a rod-shaped bacterium isolated from the Dadri wetlands (Uttar Pradesh, India), tolerates ionizing radiation and arsenic. However, the molecular basis of its wider heavy-metal resilience remains unclear, particularly for 1017 of the 4128 proteins still annotated as hypothetical. The aim of this study is to perform a proteome-wide structural and functional survey to address this gap. All 4128 proteins were modeled with AlphaFold2, yielding very-high-confidence structures of predicted local distance difference test scores ≥ 90 for 2145 sequences. CATH and InterPro analysis assigned domains to 2735 proteins. Functions were predicted by combining DeepFRI (graph neural-network), MorphologFinder (Foldseek coupled with EggNOG-Mapper), and existing GenBank annotations. Structural classification revealed domains involved in arsenic resistance properties. Functional annotation identified metal binding proteins. Recurrent domain architectures that include P-loop NTPases, Rossmann folds, GNAT acetyl-transferases, and sensor modules point to coordinated redox regulation and efflux pathways. The integrated workflow suggests that more than 100 previously uncharacterized proteins are associated with diverse metal-related functions including metal binding, cofactor utilization, transport, and detoxification across chromium, cobalt, copper, iron, manganese, molybdenum, nickel, and zinc. This indicates the presence of additional metal-associated proteins beyond the known arsenic-resistance (ars) gene cluster. However, their functional roles require experimental validation. Twenty high-confidence metal-binding candidates were prioritized for experimental validation through expression, mutagenesis, and gene-knockout studies. All structural models, domain assignments, and query tools are available at https://deinococcus.in , providing a resource for future investigations of heavy-metal tolerance in this organism.

Indexed as

Bacterial ProteinsDeinococcusMetalloproteasesMetalloproteinsProteomeArsenicMolecular Sequence AnnotationArsenicBacterial ProteinsMetalloproteasesMetalloproteinsProteomeArsenic resistanceDeinococcus indicus DR1Functional annotationHeavy metal toleranceStructural characterization

Identifiers

PMID42360557

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