Billones Junie B, Carrillo Maria Constancia O, Organo Voltaire G, Sy Jamie Bernadette A, Clavio Nina Abigail B, Macalino Stephani Joy Y, Emnacen Inno A, Lee Alexandra P, Ko Paul Kenny L, Concepcion Gisela P
OVPAA-EIDR Program, "Computer-Aided Discovery of Compounds for the Treatment of Tuberculosis in the Philippines", Department of Physical Sciences and Mathematics, College of Arts and Sciences, University of the Philippines Manila, Manila, Philippines; Institute of Pharmaceutical Sciences, National Institutes of Health, University of the Philippines Manila, Manila, Philippines.
OVPAA-EIDR Program, "Computer-Aided Discovery of Compounds for the Treatment of Tuberculosis in the Philippines", Department of Physical Sciences and Mathematics, College of Arts and Sciences, University of the Philippines Manila, Manila, Philippines.
Drug Des Devel Ther. 2017 Mar 2;11:563-574. doi: 10.2147/DDDT.S119930. eCollection 2017.
Computer-aided drug discovery and development approaches such as virtual screening, molecular docking, and in silico drug property calculations have been utilized in this effort to discover new lead compounds against tuberculosis. The enzyme 7,8-diaminopelargonic acid aminotransferase (BioA) in (), primarily involved in the lipid biosynthesis pathway, was chosen as the drug target due to the fact that humans are not capable of synthesizing biotin endogenously. The computational screening of 4.5 million compounds from the Enamine REAL database has ultimately yielded 45 high-scoring, high-affinity compounds with desirable in silico absorption, distribution, metabolism, excretion, and toxicity properties. Seventeen of the 45 compounds were subjected to bioactivity validation using the resazurin microtiter assay. Among the 4 actives, compound (()--(2-isopropoxyphenyl)-2-oxo-2-((3-(trifluoromethyl)cyclohexyl)amino)acetimidic acid) displayed inhibitory activity up to 83% at 10 μg/mL concentration against the growth of the H37Ra strain.
计算机辅助药物发现与开发方法,如虚拟筛选、分子对接和计算机辅助药物性质计算,已被用于此项工作,以发现针对结核病的新先导化合物。由于人类无法内源性合成生物素,因此选择了主要参与脂质生物合成途径的()中的7,8-二氨基壬酸转氨酶(BioA)作为药物靶点。对来自Enamine REAL数据库的450万种化合物进行的计算筛选最终产生了45种高分、高亲和力的化合物,它们具有理想的计算机辅助吸收、分布、代谢、排泄和毒性特性。45种化合物中的17种使用刃天青微量滴定法进行了生物活性验证。在4种活性化合物中,化合物(()--(2-异丙氧基苯基)-2-氧代-2-((3-(三氟甲基)环己基)氨基)乙亚氨酸)在10μg/mL浓度下对H37Ra菌株的生长显示出高达83%的抑制活性。