Exploring antimicrobial potency and in silico analysis of rosemary and hibiscus bioactive compounds to be used in germicidal product

Conventional germicidal products often contain hazardous chemicals that pose risks to human health and the environment and can contribute to the development of resistance. Plant bioactive compounds offer a greener alternative. Although there are numerous studies on the antibacterial activity of plant extracts, research on in silico analysis of plant bioactive compounds targeting bacterial proteins is less common. This research aimed to explore the antimicrobial potential of Salvia rosmarinus and Hibiscus rosa sinensis x L. through both in vitro and in silico analysis for integration into germicidal products. Both samples displayed promising antibacterial properties. Among the identified bioactive compounds, Tricyclo[20.8.0.0(7,16)]triacontane,1(22),7(16)-diepoxy from rosemary, and 1,3-Diphenyl-1,2-butanediol from hibiscus exhibited the strongest negative binding energies against target proteins. Tricyclo[20.8.0.0(7,16)] triacontane,1(22),7(16)-diepoxy achieved a docking score of -11 kcal/mol against S.aureus protein, while 1,3-Diphenyl-1,2-butanediol scored − 7.5 kcal/mol against K. pneumoniae protein. Both in vitro and in silico findings confirm the significant antimicrobial activity of rosemary and hibiscus extracts due to their bioactive compounds, indicating their promise for inclusion in germicidal products.

Authors

Institutions

Publication Details

Journal
Discover Biotechnology
Published
2025-08-30
DOI
https://doi.org/10.1007/s44340-025-00028-9
Primary Topic
Hibiscus Plant Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring antimicrobial potency and in silico analysis of rosemary and hibiscus bioactive compounds to be used in germicidal product

Seema Sambrani, Vaishnavi Shedge
Discover Biotechnology
Hibiscus Plant Research Studies
article

Exploring antimicrobial potency and in silico analysis of rosemary and hibiscus bioactive compounds to be used in germicidal product

Seema Sambrani, Vaishnavi Shedge
article en

Abstract

Conventional germicidal products often contain hazardous chemicals that pose risks to human health and the environment and can contribute to the development of resistance. Plant bioactive compounds offer a greener alternative. Although there are numerous studies on the antibacterial activity of plant extracts, research on in silico analysis of plant bioactive compounds targeting bacterial proteins is less common. This research aimed to explore the antimicrobial potential of Salvia rosmarinus and Hibiscus rosa sinensis x L. through both in vitro and in silico analysis for integration into germicidal products. Both samples displayed promising antibacterial properties. Among the identified bioactive compounds, Tricyclo[20.8.0.0(7,16)]triacontane,1(22),7(16)-diepoxy from rosemary, and 1,3-Diphenyl-1,2-butanediol from hibiscus exhibited the strongest negative binding energies against target proteins. Tricyclo[20.8.0.0(7,16)] triacontane,1(22),7(16)-diepoxy achieved a docking score of -11 kcal/mol against S.aureus protein, while 1,3-Diphenyl-1,2-butanediol scored − 7.5 kcal/mol against K. pneumoniae protein. Both in vitro and in silico findings confirm the significant antimicrobial activity of rosemary and hibiscus extracts due to their bioactive compounds, indicating their promise for inclusion in germicidal products.

Discover BiotechnologyVol. 2(1)
K J Somaiya Medical College (IN)
Openalex Percentile: Top 70%
Hibiscus Plant Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.