Kumar H S Santosh, Kumar S Ravi, Kumar N Naveen, Ajith S
Department of Biotechnology and Bioinformatics, Bioscience Complex, Kuvempu University, Jnana Sahyadri, Shankaraghatta, 577451 India.
In Silico Pharmacol. 2021 Jan 1;9(1):2. doi: 10.1007/s40203-020-00064-9. eCollection 2021.
For any antimicrobial assay, a standard drug is used to compare the bactericidal efficiency of the bioactive compound under screening. The standard drugs have different targets that may be intracellular or membrane located. The location of the target is believed to be determining the bioactivity of the drug depending on the drug's access to its target. Therefore, different drugs must have a different magnitude in exhibiting the biological effect. However, in most of the published literature about the screening of bioactive compounds on antimicrobial activity, generally, the standard drug is randomly chosen while comparing against the bioactive compound of interest. Further, the antimicrobial activity is inferred by comparing the randomly chosen standard drugs without knowing the physicochemical parameters of the standard drug and the test molecule. It is just like an unfair comparison of the impact of a bullet with the impact of an explosive in a combat scene. Computer-based strategies for structure-based drug discovery presents a valuable alternative to the costly and time-consuming process of random screening. The docking studies provide better insights into the binding mechanism of substrate and inhibitor at the molecular level. The evaluation of such a comparison of bioactive compounds against randomly selected standard drugs through a customized virtual screening pipeline showed 57% false positives, 18% true positive, 17% true negative, 8% false-negative results. This study directs for mandatory cheminformatics-based assessment of the bioactive compounds before choosing the standard drug to compare with.
The online version contains supplementary material available at 10.1007/s40203-020-00064-9.
对于任何抗菌检测,都使用标准药物来比较正在筛选的生物活性化合物的杀菌效率。标准药物具有不同的靶点,这些靶点可能位于细胞内或细胞膜上。靶点的位置被认为取决于药物接近其靶点的能力,从而决定药物的生物活性。因此,不同的药物在表现出生物效应时必须具有不同的强度。然而,在大多数已发表的关于生物活性化合物抗菌活性筛选的文献中,通常在与感兴趣的生物活性化合物进行比较时随机选择标准药物。此外,在不知道标准药物和测试分子的物理化学参数的情况下,通过比较随机选择的标准药物来推断抗菌活性。这就好比在战斗场景中对子弹的影响和炸药的影响进行不公平的比较。基于计算机的基于结构的药物发现策略为随机筛选这一昂贵且耗时的过程提供了有价值的替代方案。对接研究能在分子水平上更好地洞察底物和抑制剂的结合机制。通过定制的虚拟筛选流程对生物活性化合物与随机选择的标准药物进行这种比较的评估显示,假阳性结果为57%,真阳性结果为18%,真阴性结果为17%,假阴性结果为8%。这项研究表明,在选择标准药物进行比较之前,必须对生物活性化合物进行基于化学信息学的评估。
在线版本包含可在10.1007/s40203-020-00064-9获取的补充材料。