Combining Subtractive Genomics with Computer-Aided Drug Discovery Techniques to Effectively Target S. sputigena in Periodontitis

This study aimed to provide an inclusive in silico investigation for the identification of novel drug targets that can be exploited to develop drug candidates for treating oral infections caused by S. sputigena. By coupling subtractive genomics with an in silico drug discovery approach, we identified dTDP-4-dehydrorhamnose 3,5-epimerase (UniProt ID: C9LUR0), UTP-glucose-1-phosphate uridyltransferase (UniProt ID: C9LRH1), and imidazole glycerol phosphate synthase (UniProt ID: C9LTU7) as three unique proteins crucial for the S. sputigena life cycle with no substantial similarity to human proteins. These potential drug targets served as the starting point for screening bioactive phytochemicals (1090 compounds) from the Indian Medicinal Plants, Phytochemistry and Therapeutics (IMPPAT) database. Among the screened natural products, cubebin (IMPHY001912) showed a higher affinity for two of the three selected targets, as evidenced by molecular docking and molecular dynamics studies. Given its favorable drug-like profile and possible multitargeting behavior, cubebin could be further exploited as an antibacterial agent for treating S. sputigena-mediated oral infections. It is worth nothing that cubebin could be the active ingredient of appropriate formulations such as mouthwash and/or toothpaste to treat S. sputigena-induced periodontitis, with the advantage of limiting the adverse effects that could affect the use of current drugs.

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Publication Details

Journal
Computation
Published
2025-02-01
DOI
https://doi.org/10.3390/computation13020034
Citations
1
Primary Topic
Natural product bioactivities and synthesis
Type
article
Field-Weighted Citation Impact
0.81
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article

Combining Subtractive Genomics with Computer-Aided Drug Discovery Techniques to Effectively Target S. sputigena in Periodontitis

Mallari Praveen, Vincenzo Calderone, Simone Brogi, Chendruru Geya Sree et al.
1 citations
Computation
Natural product bioactivities and synthesis
0.81
article

Combining Subtractive Genomics with Computer-Aided Drug Discovery Techniques to Effectively Target S. sputigena in Periodontitis

Mallari Praveen, Vincenzo Calderone, Simone Brogi, Chendruru Geya Sree, Kamakshya Prasad Kanchan Prava Dalei
article en
1 citations

Abstract

This study aimed to provide an inclusive in silico investigation for the identification of novel drug targets that can be exploited to develop drug candidates for treating oral infections caused by S. sputigena. By coupling subtractive genomics with an in silico drug discovery approach, we identified dTDP-4-dehydrorhamnose 3,5-epimerase (UniProt ID: C9LUR0), UTP-glucose-1-phosphate uridyltransferase (UniProt ID: C9LRH1), and imidazole glycerol phosphate synthase (UniProt ID: C9LTU7) as three unique proteins crucial for the S. sputigena life cycle with no substantial similarity to human proteins. These potential drug targets served as the starting point for screening bioactive phytochemicals (1090 compounds) from the Indian Medicinal Plants, Phytochemistry and Therapeutics (IMPPAT) database. Among the screened natural products, cubebin (IMPHY001912) showed a higher affinity for two of the three selected targets, as evidenced by molecular docking and molecular dynamics studies. Given its favorable drug-like profile and possible multitargeting behavior, cubebin could be further exploited as an antibacterial agent for treating S. sputigena-mediated oral infections. It is worth nothing that cubebin could be the active ingredient of appropriate formulations such as mouthwash and/or toothpaste to treat S. sputigena-induced periodontitis, with the advantage of limiting the adverse effects that could affect the use of current drugs.

ComputationVol. 13(2)
University of Pisa (IT), Isfahan University of Medical Sciences (IR), Sri Padmavati Mahila Visvavidyalayam (IN)
Responsible consumption and production
Openalex Percentile: Top 31%
Natural product bioactivities and synthesis
0.81
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Combining Subtractive Genomics with Computer-Aided Drug Discovery Techniques to Effectively Target S. sputigena in Periodontitis — Mallari Praveen, Vincenzo Calderone, et al. · Computation (2025) | TGRS Research Map | TGRS