Dr.rer.nat. Arli Aditya Parikesit, S.Si., M.Si.

Vice Rector II Director of Research and Industry Collaboration

Research Interest


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.


Year Award Source
Hibah DIKTI Penelitian Berbasis Kompetensi
Hibah DIKTI Penelitian Berbasis Kompetensi
Hibah DIKTI Penelitian Berbasis Kompetensi
Runner up of best popular science writers’ competition
The best writer for the open-source popular article competition

Research Activity and Highlighted Project

Year Title Partners
Screening of Flavonoid Compounds with SARS-CoV-2 3C-like Protease as a natural bioactive compound for COVID-19
Nano Center Indonesia Corporation
Anti-anxiety Evaluation of Phenolics and Alkaloids Extract of Soursop (Annona Muricata L.) Leaves and in Silico Screening of the Compounds against Monoamine Oxidase A, GABA A and 5HT1A Receptors
Transcriptomic Screening of Tilapia and Carp Fish for The Development of Rapid Diagnostic Growth Mark Kit
Research Institute for Fish Breeding (BRPI)
Study of 3-Dimensional Prediction of Breast Cancer Biomarkers from the LINCRNA-ROR/MiR-145/ARF6 Expression Pathway
Prediction of Activity and Toxicity of Bioactive Compounds from Sargassum sp. and Ecklonia cava using QSAR, ADME-TOX, and IPP Computing Methods
PT. Kalbe Farma Tbk

Selected Publication

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. 

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