Top 10 Ways To Find New Pharmaceutically Active Substances From Billions Of Newly Combined Molecules
Introduction
The development of new drugs is a long and expensive process, and one of the biggest challenges is finding new pharmaceutically active substances (PASs). Traditional methods of drug discovery have relied on screening large libraries of compounds, but this approach is becoming increasingly inefficient as the number of compounds to be screened grows exponentially.
One promising new approach to drug discovery is to use computational methods to design new molecules that are likely to have the desired pharmacological properties. This approach can be much faster and more efficient than traditional screening methods, and it has the potential to lead to the discovery of new PASs that would not have been found using traditional methods.
In this article, we will discuss the top 10 ways to find new PASs from billions of newly combined molecules. These methods include:
- Virtual screening
- Fragment-based drug design
- High-throughput screening
- Cell-based assays
- Animal models
- Clinical trials
- Artificial intelligence
- Machine learning
- Data mining
- Cloud computing
Conclusion
The development of new drugs is a complex and challenging process, but the use of computational methods to design new molecules has the potential to make this process faster, more efficient, and more successful. By using the top 10 methods described in this article, researchers can increase their chances of finding new PASs and developing new drugs to treat a wide range of diseases.
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