Indonesian
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Microbial Pathogenesis 2018-Oct

Identification and isolation of antimicrobial compounds from the flower extract of Hibiscus rosa-sinensis L: In silico and in vitro approaches.

Hanya pengguna terdaftar yang dapat menerjemahkan artikel
Masuk daftar
Tautan disimpan ke clipboard
S Vijayakumar
J E Morvin Yabesh
P Arulmozhi
P K Praseetha

Kata kunci

Abstrak

The modern people are preparing the natural medicines from the plants and their parts for curing various diseases. The present study was chosen Hibiscus rosa-sinensis flowers to analyze its antimicrobial capabilities against venereal diseases causing pathogens. In this study, the antimicrobial activity performed in different solvents prepared flower extracts using agar well diffusion method. Among the extracts, the methanolic flower extract of Hibiscus rosa-sinensis shows better results than other solvents extracts. The extract analysed by GC-MS which was exposes seven bioactive molecules. These bioactive molecules were docked with N. gonorrhoea protein. Finally, benzene dicarboxylic acid had best glide docking XP scores -7.955 with better binding energy values (-38.692 kcal/mol) than other ligand molecules. Hence, this molecule was isolated from the flowers of H. rosa-sinensis. After that, the different concentrations of 1,2 benzene dicarboxylic acid were tested on human diseases causing microbial strains. There, all the levels were showed good anti-gonorrhoeal activity against N. gonorrhoeae. Hence this study suggested that 1,2 benzene dicarboxylic acid could be used as a better drug candidate for venereal diseases.

Bergabunglah dengan
halaman facebook kami

Database tanaman obat terlengkap yang didukung oleh sains

  • Bekerja dalam 55 bahasa
  • Pengobatan herbal didukung oleh sains
  • Pengenalan herbal melalui gambar
  • Peta GPS interaktif - beri tag herba di lokasi (segera hadir)
  • Baca publikasi ilmiah yang terkait dengan pencarian Anda
  • Cari tanaman obat berdasarkan efeknya
  • Atur minat Anda dan ikuti perkembangan berita, uji klinis, dan paten

Ketikkan gejala atau penyakit dan baca tentang jamu yang mungkin membantu, ketik jamu dan lihat penyakit dan gejala yang digunakan untuk melawannya.
* Semua informasi didasarkan pada penelitian ilmiah yang dipublikasikan

Google Play badgeApp Store badge