During the Bioinformatics Workshop, IPB Experts Recommend Apps that Make it easy for researchers to Formulate Jamu
Dr. Ananta Vishnu, lecutrer and researcher from the Department of Computer Science, Faculty of Mathematics and Natural Sciences (MIPA), Bogor Agricultural University (IPB) managed to create search applications and connectivity prediction herbs and diseases. This application called Ijah Analytics facilitates researchers to determine the content of active compounds in plants, thus shortening the process of formulation of the herbal medicinal product.
These findings, Dr. Vishnu presented in Bioinformatics Workshop, Network Pharmacology held at the Center for the Study Biofarmaka Tropika, Taman Kencana, Bogor (19/3). IPB-made applications can be accessed at http://ijah.apps.cs.ipb.ac.id/ .
“Network Pharmacology can shorten the selection compound screening step. Involvement of computers in the designing of herbs is a factor which is considered very important. This application has been widely accessible to Internet users in several countries. This application gives users the ease and indulge in its use compared to other applications. Machine learning is the basis of the application development methods. Ijah also have received the grace of innovation and copyright. Ijah developed since 2013 involving 27 personnel consisting of students and faculty, “said Dr. Vishnu.
Besides Dr. Vishnu, in the workshop, herb expert from the Department of Chemistry IPB , Rudi Heryanto, M.Si also presents the results of his research titled Medicinal Product Development approach based on the concept of Multi Componenets-Multi Target and Synergy. His presentation explained the holistic nature of herbs that contain many compounds that will form the protein targeted so that the function and metabolism of the consumers of herbal medicine get better. “Through the utilization of computing with the approach of graph theory, it can be produced models that filter the compounds most suitable and potential for the treatment or prevention of certain diseases,” he said.
Heryanto Rudi statement is reinforced by the explanations of Dr. Annisa, SKom., M. Kom. namely lecturer in the Department of Computer Science graduate of Hiroshima University in Japan, who explained that the graph mining can be used to reduce network formed from protein interactions becoming subgraphs which have a high population density, where the subgraphs are suspected to contain proteins essential related with a particular disease. Essential proteins will then become important information to find a formula of active compounds in medicinal plants, obtained from the analysis of k-partite graph-compound-protein plant-disease.
Finally, the workshop was closed by the material on metabolomics data processing using R by Dr. Sony Hartono Wijaya, professor of Computer Science IPB. Participants from academia and researachers from several universities and research centers in Java and Borneo felt enthusiastic to join the workshop from beginning to end. They hope that the post-workshop interaction and communication is still being done to initiate collaborative research. (AVR)
