Invasive fungal infections are a complex challenge throughout the world because of their high incidence, mainly in critically ill patients, and high mortality rates. The antifungal agents currently available are limited; thus, there is a need for the rapid development of new drugs. In silico methods are a modern strategy to explore interactions between new compounds and specific fungal targets, but they depend on precise genetic information. Here, we discuss the main Candida spp. target genes, including information about null mutants, virulence, cytolocalization, co-regulatory genes, and compounds that are related to protein expression. These data will provide a basis for the future in silico development of antifungal drugs.

侵袭性真菌感染在世界范围内是一个复杂的挑战，因为它们的发生率很高（主要在危重患者中），并且死亡率很高。当前可用的抗真菌剂是有限的。因此，需要快速开发新药。计算机方法是探索新化合物与特定真菌靶标之间相互作用的现代策略，但它们依赖于精确的遗传信息。在这里，我们讨论主要的念珠菌属。目标基因，包括有关无效突变体，毒力，细胞定位，共同调控基因以及与蛋白质表达相关的化合物的信息。这些数据将为将来抗真菌药物的计算机开发提供基础。