Abstract
Computer-aided molecular modeling is a rapidly emerging technology that is being
used to accelerate the discovery and design of new drug therapies. It involves the use of computer
algorithms and 3D structures of molecules to predict interactions between molecules and their
behavior in the body. This has drastically improved the speed and accuracy of drug discovery and
design. Additionally, computer-aided molecular modeling has the potential to reduce costs, increase
the quality of data, and identify promising targets for drug development. Through the use
of sophisticated methods, such as virtual screening, molecular docking, pharmacophore modeling,
and quantitative structure-activity relationships, scientists can achieve higher levels of efficacy
and safety for new drugs. Moreover, it can be used to understand the activity of known drugs and
simplify the process of formulating, optimizing, and predicting the pharmacokinetics of new and
existing drugs. In conclusion, computer-aided molecular modeling is an effective tool to rapidly
progress drug discovery and design by predicting the interactions between molecules and anticipating
the behavior of new drugs in the body.
Keywords:
Computer-aided molecular modeling, virtual screening, quantitative structure-activity relationship (QSAR), molecular dynamics simulation, drug design optimization, pharmacophore modeling.
Graphical Abstract
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