Clinical Microbiology and Parasitology Department, Instituto de Investigación Sanitaria del Hospital, Universitario La Paz (IdiPAZ), 28046 Madrid, Spain.
Department of Medical Sciences, Uppsala University, 752 36 Uppsala, Sweden.
Int J Mol Sci. 2022 Aug 28;23(17):9746. doi: 10.3390/ijms23179746.
The EPIC consortium brings together experts from a wide range of fields that include clinical, molecular and basic microbiology, infectious diseases, computational biology and chemistry, drug discovery and design, bioinformatics, biochemistry, biophysics, pharmacology, toxicology, veterinary sciences, environmental sciences, and epidemiology. The main question to be answered by the EPIC alliance is the following: "What is the best approach for data mining on carbapenemase inhibitors and how to translate this data into experiments?" From this forum, we propose that the scientific community think up new strategies to be followed for the discovery of new carbapenemase inhibitors, so that this process is efficient and capable of providing results in the shortest possible time and within acceptable time and economic costs.
EPIC 联盟汇集了来自临床、分子和基础微生物学、传染病学、计算生物学和化学、药物发现和设计、生物信息学、生物化学、生物物理学、药理学、毒理学、兽医科学、环境科学和流行病学等多个领域的专家。EPIC 联盟要回答的主要问题如下:“对碳青霉烯酶抑制剂进行数据挖掘的最佳方法是什么,以及如何将这些数据转化为实验?”从这个论坛,我们建议科学界想出新的策略,以发现新的碳青霉烯酶抑制剂,使这个过程高效,并能够在最短的时间内提供结果,在可接受的时间和经济成本内。