Naveed Muhammad, Shabbir Muhammad Aqib, Ain Noor-Ul, Javed Khushbakht, Mahmood Sarmad, Aziz Tariq, Khan Ayaz Ali, Nabi Ghulam, Shahzad Muhammad, Alharbi Mousa Essa, Alharbi Metab, Alshammari Abdulrahman
Department of Biotechnology, Faculty of Science & Technology, University of Central Punjab, Lahore 54590, Pakistan.
School of Food & Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
Bioengineering (Basel). 2022 Dec 21;10(1):11. doi: 10.3390/bioengineering10010011.
The unexpected appearance of the monkeypox virus and the extensive geographic dispersal of cases have prompted researchers to concentrate on potential therapeutic approaches. In addition to its vaccine build techniques, there should be some multiple integrated antiviral active compounds because of the MPV (monkeypox virus) outbreak in 2022. This study offers a computational engineering-based de novo drug discovery mediated by random antiviral active compounds that were screened against the virulent protein MPXVgp169, as one of the key players directing the pathogenesis of the virus. The screening of these candidates was supported by the use of 72 antiviral active compounds. The top candidate with the lowest binding affinity was selected for the engineering of chains or atoms. Literature assisted to identify toxic chains or atoms that were impeding the stability and effectiveness of antiviral compounds to modify them for enhanced efficacy. With a binding affinity of -9.4 Kcal/mol after chain, the lipophilicity of 0.41, the water solubility of 2.51 as soluble, and synthetic accessibility of 6.6, chain-engineered dolutegravir was one of the best active compounds, as proved by the computational engineering analysis. This study will revolutionize the era of drug engineering as a potential therapeutic strategy for monkeypox infection.
猴痘病毒的意外出现以及病例在广泛地理区域的传播,促使研究人员专注于潜在的治疗方法。除了疫苗构建技术外,鉴于2022年猴痘病毒(MPV)的爆发,应该还存在一些多种整合的抗病毒活性化合物。本研究提供了一种基于计算工程的从头药物发现方法,该方法由针对毒性蛋白MPXVgp169筛选出的随机抗病毒活性化合物介导,MPXVgp169是指导该病毒发病机制的关键因素之一。对这些候选化合物的筛选得到了72种抗病毒活性化合物的支持。选择结合亲和力最低的顶级候选物进行链或原子的工程设计。借助文献来识别阻碍抗病毒化合物稳定性和有效性的有毒链或原子,以便对其进行修饰以提高疗效。经计算工程分析证明,经链工程改造的多替拉韦结合亲和力为-9.4千卡/摩尔,脂溶性为0.41,水溶性为2.51(可溶),合成可及性为6.6,是最佳活性化合物之一。作为猴痘感染的一种潜在治疗策略,本研究将彻底改变药物工程时代。