AI Article Synopsis
- The discovery of bioactive molecules is complex and costly, prompting the search for efficient methods like Virtual Screening (VS) for identifying potential candidates.
- VS has seen a rise in new techniques and software, making it crucial to understand their fundamentals and limitations for better application.
- This review focuses on key aspects of VS, including virtual libraries, structure- and ligand-based techniques, and highlights recent successful applications of the strategy.
Article Abstract
The discovery of bioactive molecules is an expensive and time-consuming process and new strategies are continuously searched for in order to optimize this process. Virtual Screening (VS) is one of the recent strategies that has been explored for the identification of candidate bioactive molecules. The number of new techniques and software that can be applied in this strategy has grown considerably in recent years, so, before their use, it is necessary to understand the basics an also the limitations behind each one to get the most out of them. It is also necessary to assess the real contributions of this strategy so that more significant progress can be made in the future. In this context, this review aims to discuss some important points related to VS, including the use of virtual ligand and biotarget libraries, structurebased and ligand-based VS techniques, as well as to present recent cases where this strategy was successfully applied.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.2174/1568026619666190816101948 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!