Ahamed T K Shameera, Muraleedharan K
Department of Chemistry, University of Calicut, Malappuram, 673635, India.
Department of Chemistry, University of Calicut, Malappuram, 673635, India.
J Mol Graph Model. 2020 Nov;100:107699. doi: 10.1016/j.jmgm.2020.107699. Epub 2020 Aug 4.
The process of blocking 5-lipoxygenase (5-LOX) catalyzed leukotriene biosynthesis has been recognized for the past few decades as a promising therapeutic strategy for acute inflammatory, allergic, and respiratory diseases. Due to the toxicity effect of FDA approved 5-LOX inhibitor zileuton, novel 5-LOX inhibitors have been sought by the scientific community. As a result, a significant and relevant amount of information on the structure-activity of 5-LOX inhibitors has been released and stored in public databases. In this study, we aimed at the comprehensive cheminformatic characterization of the diversity and complexity of the chemical space of 5-LOX inhibitors and its activating protein FLAP inhibitors by comparing it with the Approved drug space and virtual LOX library. The visual representation of the property space indicates some compounds in the 5-LOX inhibitors space broaden the traditional medicinal space. The structural diversity of the databases is computed using complementary approaches, including Physicochemical Property (PCP) descriptors, molecular fingerprints, and molecular scaffold. With the apparent exception of approved drugs, the 5-LOX dataset shows more diversity compared to FLAP and LOX virtual library set. This study was able to identify the underlying patterns in the chemical and pharmacological properties space that were decisive for the drug discovery and development of 5-LOX inhibitors.
在过去几十年中,阻断5-脂氧合酶(5-LOX)催化的白三烯生物合成过程已被公认为是治疗急性炎症、过敏和呼吸系统疾病的一种有前景的治疗策略。由于美国食品药品监督管理局(FDA)批准的5-LOX抑制剂齐留通具有毒性作用,科学界一直在寻找新型5-LOX抑制剂。因此,大量有关5-LOX抑制剂构效关系的重要信息已被发布并存储在公共数据库中。在本研究中,我们旨在通过将5-LOX抑制剂及其激活蛋白FLAP抑制剂的化学空间的多样性和复杂性与已批准药物空间和虚拟LOX库进行比较,来进行全面的化学信息学表征。属性空间的可视化表示表明,5-LOX抑制剂空间中的一些化合物拓宽了传统药用空间。使用包括物理化学性质(PCP)描述符、分子指纹和分子支架在内的互补方法来计算数据库的结构多样性。除了已批准的药物外,5-LOX数据集与FLAP和LOX虚拟库集相比显示出更多的多样性。这项研究能够识别化学和药理性质空间中的潜在模式,这些模式对于5-LOX抑制剂的药物发现和开发具有决定性作用。