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Published on: July 8, 2025
Predicting the metalloproteome of Deinococcus indicus DR1 through integrative structure and function annotation
Sweety Deena Ramesh1, Giri Vasan1, Shricharan Senthilkumar1
1Department of Bioinformatics, School of Chemical and Biotechnology, SASTRA Deemed University, 202, ASK-2, Thanjavur, Tamil Nadu, 613401, India.
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.
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