The Medical Chemistry and Bioinformatics Research Group at the Faculty of Medicine, Universitas Indonesia (FKUI), is a multidisciplinary research unit focused on advancing scientific knowledge at the intersection of medicinal chemistry and medical bioinformatics. Through interdepartmental and interinstitutional collaboration, the group plays a strategic role in innovative and applied health science research, ranging from the design of bioactive molecules to comprehensive genomic data analysis.
The Research Group was established to strengthen research activities as a core pillar in the development of science and technology in the fields of medicinal chemistry and medical bioinformatics. Its main objective is to integrate experimental (in vitro), computational (in silico), and biological data analysis approaches to address complex health problems, including drug design, genomic characterization, and molecular modeling, using scientifically rigorous and standardized methodologies.
📌 Main Research Focus Areas
The group conducts research in several interrelated areas, including:
🧪 Medicinal Chemistry
🧬 Medical Bioinformatics
These research activities are supported by advanced computational methods and large-scale data integration, enabling translational research toward clinical and therapeutic applications.
👥 Research Team
The researchers possess strong expertise in applied bioinformatics, pharmaceutical chemistry, molecular modeling, and genomic data analysis, reinforcing the group’s capacity for multidisciplinary research.
🔬 Research Collaborations
The group collaborates with various units and institutions both within and outside Universitas Indonesia, including:
These collaborations support interdisciplinary research activities such as bacterial genome characterization, vaccine design, and health big data analysis.
📌 Research Targets and Scientific Methodologies
🔬 Bioinformatics and Omics
Genomic analysis and genetic variant profiling using bioinformatics and big data technologies, including:
🧪 Structural Modeling and Drug Discovery
🧠Health Big Data and Interdisciplinary Collaboration
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