Dr.rer.nat. Arli Aditya Parikesit, S.Si., M.Si. is the Vice-Rector of Research and Industrial Collaboration and Faculty Member of Bioinformatics Department at i3L. He finished his bachelor’s and master’s studies both in the Chemistry Department, Faculty of Mathematics and Sciences, University of Indonesia. His master’s degree was streamed in Biotechnology. In order to pursue the degree in Bioinformatics, he was awarded the DAAD (German Academic Exchange Service) fellow to conduct doctorate research at Bioinformatics Group, Faculty of Informatics and Mathematics, University of Leipzig, Germany. His doctoral research is focused on the utilization of modern protein domain annotation techniques to the three domains of life. In addition, Dr. Arli is also an expert on immunoinformatic, in silico drug design, and in silico transcriptomics. His interests now extend into the domain of artificial intelligence as well.
Research Activity and Highlighted Project
Parikesit, A. A., Imron, I., Nurdiansyah, R., & Agustriawan, D. (2022). The Structural Annotations of The Mir-122 Non-Coding RNA from The Tilapia Fish (Oreochromis niloticus). HAYATI Journal of Biosciences, 29(2), 171–181.
Maladan, Y., Krismawati, H., Wahyuni, T., Tanjung, R., Awaludin, K., Audah, K. A., & Parikesit, A. A. (2021). The whole-genome sequencing in predicting Mycobacterium tuberculosis drug susceptibility and resistance in Papua, Indonesia. BMC Genomics 2021 22:1, 22(1), 1–11.
Aldino, M., Maulani, R., Probojati, R., Karisma, V. D., Ansori, A. N. M., & Parikesit, A. A. (2021). Potential Vaccine Targets for COVID-19 and Phylogenetic Analysis Based on the Nucleocapsid Phosphoprotein of Indonesian SARS-CoV-2 Isolates. Indonesian Journal of Pharmacy, 32(3), 328–337.
Parikesit, A. A., & Nurdiansyah, R. (2021). Natural products repurposing of the H5N1-based lead compounds for the most fit inhibitors against 3C-like protease of SARS-CoV-2. Journal of Pharmacy & Pharmacognosy Research, 9(5), 730–745.
Ivan, J., Nurdiansyah, R., & Parikesit, A. A. (2020). Comprehensive Molecular Simulation of Triple-negative Breast Cancer Transcriptomics Features of miR-145 and the 3’ UTR of ARF6 mRNA. International Journal Bioautomation, 24(3), 245–254.