@article {2427, title = {The Global Research Landscape of Rendang: A Bibliometric Insight into Culinary Heritage and Innovation}, journal = {Pharmacognosy Journal}, volume = {16}, year = {2024}, month = {December 2024}, pages = {1320-1330}, type = {Original Article}, chapter = {1320}, abstract = {

Rendang, a traditional Indonesian dish, has garnered international attention for its rich flavor and cultural significance. The study aimed to analyze the global research trends related to Rendang using bibliometric methods. By examining publications, citation patterns, and key areas of focus, we aim to provide insights into the scientific community{\textquoteright}s interest and the development of research on Rendang. The analysis utilized data from major academic databases, scopus.com. The search query keyword used was {\textquotedblleft}Rendang{\textquotedblright} without restrictions on language, document type, or field of study. Visualization tools utilized include VOSviewer (version 1.16.18), and RStudio (Biblioshiny). A total of 63 documents were analyzed, revealing an annual growth rate of 3.06\% and an average of 11.24 citations per document, with an international co-authorship rate of 9.524\%. Indonesia and Malaysia emerged as the top-cited countries. The study recommends broadening Rendang research beyond descriptive studies to explore innovations in food processing, faster cooking methods, packaging, preservation, and health impacts. Further research should address sustainability, economic impacts, and increased international collaboration, aiming for more publications in high-impact journals. Additionally, the commercialization of ready-to-eat Rendang that preserves its traditional taste and the application of smart food technologies are essential for enhancing global research impact.

}, keywords = {Bibliometric Analysis, Food Systems, Indonesian Cuisine, Rendang}, doi = {10.5530/pj.2024.16.213}, author = {Anni Faridah and Riski Gusri Utami and Durain Parmanoan and Risma Rahmatunisa and Arif Adrian and Ruhul Fitri Rosel4 and Nurul Huda} } @article {2341, title = {In Silico Gene Transcription of 4-Hydroxycinnamic Acid from Broccoli Fruit (Brassica oleracea var. italica) with Estrogen Receptor Beta Protein}, journal = {Pharmacognosy Journal}, volume = {16}, year = {2024}, month = {August 2024}, pages = {791-796}, type = {Original Article}, chapter = {791}, abstract = {

This study aims to explore the relationship between 4-Hydroxycinnamic Acid, a compound found in broccoli fruit (Brassica oleracea var. italica), and Estrogen Receptor Beta Protein through in silico analysis. The research was conducted using Pymol, MOE 2015, Discovery Studio 2016, and Lepinski Rule software. These tools were employed to model the structure of both the compound and protein, as well as to evaluate their interaction. The results revealed a significant interaction with a Binding Affinity of -6.4182. Moreover, the Root Mean Square Deviation (RMSD) measurements yielded a value of 3.8907, indicating the degree of agreement between the compound and protein structures. Analysis using the Lepinski Rule disclosed the characteristics of the compound 4-Hydroxycinnamic Acid, including a mass of 164, two hydrogen bond donors, three hydrogen bond acceptors, a log P value of 1.490, and a molar reactivity of 44.776. These findings provide valuable insights into the potential of 4-Hydroxycinnamic Acid in interacting with Estrogen Receptor Beta Protein, which could serve as a foundation for further research on the health benefits and therapeutic applications of this compound, contributing to the goal of good health and well-being.

}, keywords = {Brassica oleracea var. italica, good health and well-being., in silico, molecular interaction}, doi = {10.5530/pj.2024.16.131}, author = {Rahadian Zainul and Dheo Shalsabilla Novel and Herland Satriawan and Khang Wen Goh and Vikash Jakhmola and Maksim Rebezov and Sri Suwarni and Ria Septiana and Arif Nur Muhammad Ansori and Mochammad Aqilah Herdiansyah and Anni Faridah} } @article {2069, title = {Study on the Inhibition of Sinensetin Extract from Cat{\textquoteright}s Whiskers Plant (Orthosiphon aristatus) on ATP Binding Cassette Sub-Family G Member 2 in Uric Acid}, journal = {Pharmacognosy Journal}, volume = {15}, year = {2023}, month = {August 2023}, pages = {506-511}, type = {Original Article }, chapter = {506}, abstract = {

This study aims to investigate the potential of sinensetin, a compound found in the Cat{\textquoteright}s Whiskers plant (Orthosiphon aristatus), as an inhibitor in inhibiting uric acid through its interaction with ATP Binding Cassette Sub-Family G Member 2 (ABCG2). The in-silico approach was employed using software tools such as Pymol, PyRx, Protein Plus, and Lepinski Rule. The results of molecular docking analysis using PyRx demonstrated significant interactions between sinensetin and ABCG2, with Binding Affinity values of -6.8, -6.6, and -6.6, and RMSD values of 0, 0.785, and 1.379. The analysis using Protein Plus confirmed the interaction between sinensetin and ABCG2, supporting the previous docking findings. Furthermore, the evaluation of pharmacokinetic parameters using the Lepinski Rule of Five revealed that sinensetin meets the criteria as a potential drug compound, with a molecular weight of 372, no hydrogen bond donors, seven hydrogen bond acceptors, a log P value of 3.345, and a molar reactivity of 98.5. This research provides new insights into the development of uric acid therapy through an in-silico approach, and these findings can serve as a basis for further research involving in vitro and in vivo validation.

}, keywords = {ATP Binding Cassette, Molecular docking, Orthosiphon aristatus, Sinensetin, Uric Acid.}, doi = {10.5530/pj.2023.15.110}, author = {Anni Faridah and Rismi Verawati and Budhi Oktavia and Musa Ghufron and Devi Purnamasari and Muhammad Raffi Ghifari and Linda Rosalina and Putri Azhari and Rahadian Zainul and Viol Dhea Kharisma and Vikash Jakhmola and Maksim Rebezov and ANM Ansori} }