基于环四肽的配体作为原质蛋白酶IV潜在抑制剂的计算机辅助研究
Computer aided study on cyclic tetrapeptide based ligands as potential inhibitors of Proplasmepsin IV.
作者信息
Oyebamiji Abel Kolawole, Akintelu Sunday A, Afolabi Samson Olusegun, Akintayo Emmanuel T, Akintayo Cecilia O, Ebenezer Oluwakemi
机构信息
Department of Industrial Chemistry, University of Ilesa, Ilesa, Osun State, Nigeria.
Good Health and Wellbeing Research Clusters (SDG 03), University of Ilesa, Ilesa, Osun State, Nigeria.
出版信息
Sci Rep. 2025 Apr 22;15(1):13865. doi: 10.1038/s41598-025-96410-y.
The belief that we could always stay ahead of the pathogens was forced upon scientists in the whole world by antimicrobial resistance. According to several reports, there are medications that are yet to be made public in the pipeline and there are little motivations to design novel antimicrobials to combat the worldwide drug resistance issues. Presently, the desire to design and develop efficient novel anti-bacterial agents is very high by researchers; thus, this study focuses on identifying the interactions between the studied ligands and Proplasmepsin IV, as well as examining the relationship between the calculated descriptors and binding affinities. This work shows successful prediction of the reacting and inhibiting efficiency of ten (10) cyclic tetra-peptides using insilico method. The optimization of the studied compound revealed the proficiency of methyl (3S,9S,12S)-12-(1,3-dioxoisoindolin-2-yl)-9-(2-(methylthio)ethyl)-5,8,11-trioxo-4,7,10-triaza-1(1,3)-benzenacyclotridecaphane-3-carboxylate (F5) and 2-((3S,9S,12S)-12-(1,3-dioxoisoindolin-2-yl)-3-(methoxycarbonyl)-5,8,11-trioxo-4,7,10-triaza-1(1,3)-benzenacyclotridecaphane-9-yl)acetic acid (F7) to react more than the remaining molecules in term of HOMO and LUMO energies. In comparison, compound F9 demonstrated a higher inhibitory activity than the reference drug, Chloroquine, based on binding affinity. Molecular dynamics simulations over a 100 ns period further explored the binding affinity between F9 and the reference drug. The results showed that the reference drug (- 21.91 ± 1.16 kcal/mol) had a slightly stronger binding affinity than the F9_complex (- 13.85 ± 0.72 kcal/mol). Additionally, pharmacokinetic studies for F9 were compared with those of the reference compound and presented accordingly.
抗菌药物耐药性迫使全世界的科学家认识到,我们无法总是领先于病原体。根据几份报告,仍有一些药物处于研发阶段尚未公开,而且研发新型抗菌药物以应对全球耐药性问题的动力不足。目前,研究人员对设计和开发高效新型抗菌剂的需求非常高;因此,本研究着重于确定所研究的配体与原质蛋白酶IV之间的相互作用,以及研究计算得到的描述符与结合亲和力之间的关系。这项工作表明,使用计算机模拟方法成功预测了十种环状四肽的反应和抑制效率。对所研究化合物的优化显示,甲基(3S,9S,12S)-12-(1,3-二氧代异吲哚啉-2-基)-9-(2-(甲硫基)乙基)-5,8,11-三氧代-4,7,10-三氮杂-1(1,3)-苯并环十三碳烷-3-羧酸盐(F5)和2-((3S,9S,12S)-12-(1,3-二氧代异吲哚啉-2-基)-3-(甲氧基羰基)-5,8,11-三氧代-4,7,10-三氮杂-1(1,3)-苯并环十三碳烷-9-基)乙酸(F7)在最高占据分子轨道(HOMO)和最低未占据分子轨道(LUMO)能量方面比其余分子更易发生反应。相比之下,基于结合亲和力,化合物F9表现出比参考药物氯喹更高的抑制活性。在100纳秒时间段内进行的分子动力学模拟进一步探究了F9与参考药物之间的结合亲和力。结果表明,参考药物(-21.91±1.16千卡/摩尔)的结合亲和力略强于F9复合物(-13.85±0.72千卡/摩尔)。此外,还对F9与参考化合物进行了药代动力学研究并给出相应结果。