A method to identify molecular scaffolds potentially active against the Mycobacterium tuberculosis complex (MTBC) is developed. A set of structurally heterogeneous agents against MTBC was used to obtain a mathematical model based on topological descriptors. This model was statistically validated through a Leave-n-Out test. It successfully discriminated between active or inactive compounds over 86% in database sets. It was also useful to select new potential antituberculosis compounds in external databases. The selection of new substituted pyrimidines, pyrimidones and triazolo[1,5-a]pyrimidines was particularly interesting because these structures could provide new scaffolds in this field. The seven selected candidates were synthesized and six of them showed activity in vitro.
开发了一种识别对结核分枝杆菌复合体(MTBC)具有潜在活性的分子支架的方法。利用一组结构异质的抗 MTBC 制剂,获得了一个基于拓扑描述符的数学模型。该模型通过留空测试进行了统计验证。在数据库集中,该模型成功区分了86%以上的活性或非活性化合物。它还有助于从外部数据库中筛选出新的潜在抗结核化合物。选择新的取代嘧啶、嘧啶酮和三唑并[1,5-a]嘧啶特别有意思,因为这些结构可以为该领域提供新的支架。研究人员合成了七种候选化合物,其中六种在体外显示出活性。