The
era of drug design aided by computers has been very welcome
to Indonesian researchers working on drug discovery and its related
fields. The availability of software, bioinformatics, and cheminformatics
data that are free and friendly to use increases the interest in carrying
the software, bioinformatics, and cheminformatics out in drug discovery
projects. The computational method is believed to speed up the discovery
of new drugs, because the computational method can predict the molecular
behavior of chemical compounds to interact with biological systems.
Therefore, the real experimental study cost should be minimized, since
there are a few promising molecules for a drug in silico only that would be investigated further. This article describes
a decade of research concerning drug design and discovery aided by
computers in Indonesia from 2011 to 2020. A number of computer-aided
drug design-related articles (CADDs) from Indonesian journals were
collected during the decade, and their trend was analyzed. The results
show that there was an increasing trend in the use of CADD programs
by Indonesian researchers during those ten years. The most common
methods being used were docking and molecular dynamics with AutoDock/AutoDock
Vina and AMBER/GROMACS, respectively. In addition, the most common
protein targets, ligand structures, and disease targets being studied
were human estrogen receptor alpha (HERa), flavonoids, and cancer.