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Current Strategies and Applications for Precision Drug Design
Chen Wang1,2,3, Pan Xu2,3, Luyu Zhang4
1School of Biological Science and Technology, University of Jinan, Jinan, China.
Frontiers in Pharmacology
|August 4, 2018
Summary
Precision medicine revolutionizes healthcare with customized treatments. This review explores target-based drug design, computational methods, artificial intelligence, and advanced drug delivery systems for personalized therapies.
Area of Science:
- Pharmacology
- Genomics
- Computational Biology
Background:
- The Human Genome Project revealed individual genetic heterogeneity, driving the need for precision medicine.
- Precision medicine aims to customize healthcare, with precision drug design as a key component.
- The Precision Medicine Initiative has accelerated advancements in personalized therapeutic strategies.
Purpose of the Study:
- To review target-based drug design strategies for personalized medicine.
- To discuss computational modeling and simulation approaches in drug discovery.
- To explore the role of artificial intelligence and advanced drug delivery systems in precision drug design.
Main Methods:
- Summarizing rational drug design on novel targets and protein-protein interactions.
- Discussing computational modeling techniques like molecular dynamics and in silico trials.
- Reviewing deep learning applications and advanced drug delivery systems (e.g., ADCs).
Main Results:
- Rational drug design is effective for identified pathogenic targets.
- Computational methods significantly accelerate drug discovery and development.
- Deep learning and targeted delivery systems enhance precision drug design efficacy.
Conclusions:
- Precision drug design leverages target identification, rational design, and computational tools.
- Artificial intelligence and advanced drug delivery systems are crucial for maximizing therapeutic effects and minimizing side effects.
- This review highlights key strategies and technologies advancing personalized medicine through innovative drug design.
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