Benefits of Bioinformatics: From Disease Detection to Identification of Bodies


The Bioinformatics Working Group and Computational Intelligence and Optimization (CIO) Department, Computer Science Department, Faculty of Mathematics and Natural Sciences (FMIPA) IPB University held "Bioinformatics Seminar Series 6" at the Computer Science Postgraduate Building, Dramaga Campus, Bogor (8/22). In this seminar it was revealed that the science of bioinformatics can be used to detect candidate proteins that, if their function is disrupted, can cause type 2 diabetes. In addition, bioinformatics can also be used to identify bodies, such as disaster victims.

This seminar aims to provide a new discourse for computing experts on bioinformatics. Bioinformatics itself is the application of information technology in the field of biology, especially concerning genetic information (DNA, RNA and protein). This field includes mathematical methods, statistics and informatics to solve biological problems, especially with DNA and amino acid sequences and information related to them. Bioinformatics is widely used in biological research for health or industrial purposes as well as forensic analysis which requires analysis of biological data.

This seminar presented two IPB University lecturers namely Dr. Eng. Annisa, S.Kom, M.Kom and Dr. Maria Susan Saragih, S.Kom, M.Kom as resource persons. In his presentation Dr. Annisa explained her research on "Skyline Query for Bioinformatics Applications".

This research is concerned with the application of bioinformatics in determining significant or dominant proteins in the network of protein interactions that cause disease in the human body. Skyline Query is a bioinformatics application that determines a significant protein in a disease by determining the predominant protein object in the protein interaction network.

"We carried out research related to protein networks in type 2 diabetes mellitus. The k-dominant skyline method was used to search for significant protein search for the disease. The result was that fourteen proteins were successfully verified and further analyzed based on previous references. These fourteen proteins play an important role in the regulation of glucose in the blood, so that disruption in the protein network triggers type 2 diabetes mellitus," explained Dr. Annisa in her seminar.

Meanwhile Dr. Maria Susan explained the material "Fuzzy Logic for Bioinformatics Applications". This method is used to analyze and determine kinship or family or relatives of victims of natural disasters whose bodies cannot be physically identified. The number of cases of natural disasters in Indonesia and victims whose bodies are not identified requires the correct forensic bioinformatics methods.

This fuzzy logic can be used for forensic analysis of DNA from disaster victims who have been degraded. The process is the family reports the loss, the database is taken from various victims, then matched and determined similarity. Furthermore, searching for the profile of the most similar individual so that the DNA identity of the victim can be determined.

"We see there are other problems in determining the identification of bodies that have been destroyed, namely what if there is no DNA profile of the victim's parents or relatives, such as suicide bombers for example. For this reason, Fuzzy logic uses analysis based on the closeness of the ethnicity of the analyzed body data. Thus it will help facilitate further identification," said Dr. Maria Susan. (RYS)



Published Date : 26-Aug-2019

Resource Person : Dr. Eng. Annisa, S.Kom, M.Kom dan Dr. Maria Susan Saragih, S.Kom, M.Kom

Keyword : Fuzzy Logic, Bioinformatics, disease detection, Body Identification, Department of Computer Science, FMIPA, IPB University

SDG : SDG 3 - GOOD HEALTH AND WELL-BEING