Background: In this fast-growing era, high throughput data is now being easily accessed
by getting transformed into datasets which store the information. Such information is valuable to
optimize the hypothesis and drug design via computer-aided drug design (CADD). Nowadays, we
can explore the role of CADD in various disciplines like Nanotechnology, Biochemistry, Medical
Sciences, Molecular Biology, etc.
Methods: We searched the valuable literature using a pertinent database with given keywords like
computer-aided drug design, anti-diabetic, drug design, etc. We retrieved all valuable articles which
are recent and discussing the role of computation in the designing of anti-diabetic agents.
Results: To facilitate the drug discovery process, the computational approach has set landmarks in
the whole pipeline for drug discovery from target identification and mechanism of action to the
identification of leads and drug candidates. Along with this, there is a determined endeavor to describe
the significance of in-silico studies in predicting the absorption, distribution, metabolism, excretion,
and toxicity profile. Thus, globally, CADD is accepted with a variety of tools for studying
QSAR, virtual screening, protein structure prediction, quantum chemistry, material design, physical
and biological property prediction.
Conclusion: Computer-assisted tools are used as the drug discovery tool in the area of different diseases,
and here we reviewed the collaborative aspects of information technologies and chemoinformatic
tools in the discovery of anti-diabetic agents, keeping in view the growing importance for