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Tailored Multi-Target Agents. Applications and Design Considerations

计算机科学 医学 风险分析(工程) 重症监护医学
作者
Alan Talevi
出处
期刊:Current Pharmaceutical Design [Bentham Science]
卷期号:22 (21): 3164-3170 被引量:14
标识
DOI:10.2174/1381612822666160308141203
摘要

In contrast to the one target-one drug paradigm, multi-target agents seem as a promising alternative to manage complex disorders and health conditions linked to drug resistance issues. In fact, many longstanding drugs are in fact unintended multi-functional therapeutics that have emerged from phenotypic screening. The last two decades, however, have witnessed the emergence of tailored multi-target agents, which according to our perspective combine the best aspects of target-based and phenotypic-based drug discovery.We discuss a number of considerations related to the design, screening and computer-aided discovery of multi-targeted drugs, along with overlooked advantages that this type of agents might have in clinical trials. A theoretic example is included to explain the reduced positive predictive value in virtual screening campaigns focused on multi-target agents.Multi-target agents present great therapeutic potential for the treatment of complex health conditions and the solution of drug resistance phenomena. However, they are certainly challenging for computer-aided drug discovery approaches. Merged or overlapping pharmacophores should be preferred whenever possible. It is thus suggested to perform a careful selection of the combination of pursued targets, preferring target combinations supported by co-evolution or similar biding sites.
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