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(M
TBC)具有潜在活性的分子支架的方法。利用一组结构异质的抗 M
TBC 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。