Exploring Polycarpa aurata Quoy and Gaimard, 1834 Extracts as Antibiotic Candidates: GC-MS Profiling and Molecular Docking Study

Marine natural products have garnered global interest due to their remarkable bioactive compounds. The tunicate P. aurata, a highly abundant marine invertebrate, possesses significant bioactive potential with applications as an anti-cancer, antibacterial, and antifungal agent. This study aims to evaluate the potential of P. aurata bioactive compounds as antibiotic candidates through in vitro testing and to explore their activity via an in-silico approach using molecular docking. P. aurata was extracted using maceration, yielding both methanol and n-hexane extracts. The methanol extract of P. aurata demonstrated greater efficacy than the n-hexane extract, particularly against Staphylococcus aureus with an inhibition zone diameter of 18.8 mm, compared to 13 mm for Salmonella typhi, both at a 25% concentration. In comparison, the positive control, ciprofloxacin, produced an inhibition zone ranging from 22 to 24 mm for both bacterial strains. GC-MS analysis of the extract revealed three compounds with high % area and similarity index values: Cyclohexane, 1,3,5-triphenyl, Cholesta-5,22-dien-3-ol, and Cholesta-3,5-diene, all of which were suitable for the selected protein target. Computational analysis through molecular docking demonstrated that these compounds exhibit stronger binding affinities compared to ciprofloxacin. This study suggests that the extract of P. aurata is a promising source of bioactive compounds with substantial therapeutic potential as an antibacterial and antibiotic candidate.

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Publication Details

Journal
HAYATI Journal of Biosciences
Published
2025-03-14
DOI
https://doi.org/10.4308/hjb.32.4.896-907
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Exploring Polycarpa aurata Quoy and Gaimard, 1834 Extracts as Antibiotic Candidates: GC-MS Profiling and Molecular Docking Study

Nenis Sardiani, Zaraswati Dwyana, Magdalena Litaay, Riuh Wardhani
HAYATI Journal of Biosciences
Computational Drug Discovery Methods
article

Exploring Polycarpa aurata Quoy and Gaimard, 1834 Extracts as Antibiotic Candidates: GC-MS Profiling and Molecular Docking Study

Nenis Sardiani, Zaraswati Dwyana, Magdalena Litaay, Riuh Wardhani
article en

Abstract

Marine natural products have garnered global interest due to their remarkable bioactive compounds. The tunicate P. aurata, a highly abundant marine invertebrate, possesses significant bioactive potential with applications as an anti-cancer, antibacterial, and antifungal agent. This study aims to evaluate the potential of P. aurata bioactive compounds as antibiotic candidates through in vitro testing and to explore their activity via an in-silico approach using molecular docking. P. aurata was extracted using maceration, yielding both methanol and n-hexane extracts. The methanol extract of P. aurata demonstrated greater efficacy than the n-hexane extract, particularly against Staphylococcus aureus with an inhibition zone diameter of 18.8 mm, compared to 13 mm for Salmonella typhi, both at a 25% concentration. In comparison, the positive control, ciprofloxacin, produced an inhibition zone ranging from 22 to 24 mm for both bacterial strains. GC-MS analysis of the extract revealed three compounds with high % area and similarity index values: Cyclohexane, 1,3,5-triphenyl, Cholesta-5,22-dien-3-ol, and Cholesta-3,5-diene, all of which were suitable for the selected protein target. Computational analysis through molecular docking demonstrated that these compounds exhibit stronger binding affinities compared to ciprofloxacin. This study suggests that the extract of P. aurata is a promising source of bioactive compounds with substantial therapeutic potential as an antibacterial and antibiotic candidate.

HAYATI Journal of BiosciencesVol. 32(4)
Chungnam National University (KR), Hasanuddin University (ID)
Universitas Hasanuddin, Direktorat Jenderal Pendidikan Tinggi
Openalex Percentile: Top 91%
Computational Drug Discovery Methods
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