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基于配体的药效团虚拟筛选鉴定新型抗念珠菌化合物。

Identification of new anti-Candida compounds by ligand-based pharmacophore virtual screening.

作者信息

Gidaro Maria Concetta, Alcaro Stefano, Secci Daniela, Rivanera Daniela, Mollica Adriano, Agamennone Mariangela, Giampietro Letizia, Carradori Simone

机构信息

a Dipartimento Di Scienze Della Salute , Università "Magna Graecia" Di Catanzaro, Campus Universitario "S. Venuta" , Catanzaro , Italy .

b Dipartimento Di Chimica E Tecnologie Del Farmaco , Sapienza Università Di Roma , Rome , Italy .

出版信息

J Enzyme Inhib Med Chem. 2016 Dec;31(6):1703-6. doi: 10.3109/14756366.2016.1156103. Epub 2016 Mar 17.

DOI:10.3109/14756366.2016.1156103
PMID:26985772
Abstract

Candida albicans represents the most prevalent microbial population in mucosal and systemic infections, usually confined to severely immunocompromised people. Considering the increase of resistant strains and the demand for new antifungal drugs endowed with innovative mechanism of action, we performed a ligand-based virtual screening in order to identify new anti-Candida compounds. Starting from a large library of natural/semisynthetic products and several published synthesized compounds, three coumarin derivatives were discovered in silico as new hit compounds and submitted to the in vitro assay in order to confirm their predicted biological activity.

摘要

白色念珠菌是黏膜和全身感染中最常见的微生物种群,通常局限于严重免疫功能低下的人群。考虑到耐药菌株的增加以及对具有创新作用机制的新型抗真菌药物的需求,我们进行了基于配体的虚拟筛选,以鉴定新的抗念珠菌化合物。从大量天然/半合成产物库和几种已发表的合成化合物开始,通过计算机模拟发现了三种香豆素衍生物作为新的命中化合物,并将其进行体外试验以确认其预测的生物活性。

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