Investigation of dual inhibition of antibacterial and antiarthritic drug candidates using combined approach including molecular dynamics, docking and quantum chemical methods

IF 2.6 4区 生物学 Q2 BIOLOGY Computational Biology and Chemistry Pub Date : 2024-09-30 DOI:10.1016/j.compbiolchem.2024.108218
Shabbir Muhammad , Amina Faiz , Shamsa Bibi , Shafiq Ur Rehman , Mohammad Y. Alshahrani
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Abstract

Emerging antibiotic resistance in bacteria threatens immune efficacy and increases susceptibility to bone degradation and arthritic disorders. In our current study, we utilized a three-layer in-silico screening approach, employing quantum chemical methods, molecular docking, and molecular dynamic methods to explore the novel drug candidates similar in structure to floroquinolone (ciprofloxacin). We investigated the interaction of novel similar compounds of ciprofloxacin with both a bacterial protein S. aureus TyrRS (1JIJ) and a protein associated with gout arthritis Neutrophil collagenase (3DPE). UTIs and gout are interconnected through the elevation of uric acid levels. We aimed to identify compounds with dual functionality: antibacterial activity against UTIs and antirheumatic properties. Our screening based on several methods, sorted out six promising ligands. Four of these (L1, L2, L3, and L6) demonstrated favorable hydrogen bonding with both proteins and were selected for further analysis. These ligands showed binding affinities of −8.3 to −9.1 kcal/mol with both proteins, indicating strong interaction potential. Notably, L6 exhibited highest binding energies of −9.10 and −9.01 kcal/mol with S. aureus TyrRS and Neutrophil collagenase respectively. Additionally, the pkCSM online database conducted ADMET analysis on all lead ligand suggested that L6 might exhibit the highest intestinal absorption and justified total clearance rate. Moreover, L6 showed a best predicted inhibition constant with both proteins. The average RMSF values for all complex systems, namely L1, L2, L3 and L6 are 0.43 Å, 0.57 Å, 0.55 Å, and 0.51 Å, respectively where the ligand residues show maximum stability. The smaller energy gap of 3.85 eV between the HOMO and LUMO of the optimized molecule L1 and L6 suggests that these are biologically active compound. All the selected four drugs show considerable stabilization energy ranging from 44.78 to 103.87 kcal/mol, which means all four compounds are chemically and physically stable. Overall, this research opens exciting avenues for the development of new therapeutic agents with dual functionalities for antibacterial and antiarthritic drug designing.
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利用分子动力学、对接和量子化学方法等综合方法研究抗菌和抗关节炎候选药物的双重抑制作用。
细菌中新出现的抗生素耐药性威胁着免疫功效,并增加了骨质退化和关节炎疾病的易感性。在目前的研究中,我们采用了量子化学方法、分子对接方法和分子动力学方法等三层内分子筛选方法,探索与氟喹诺酮类药物(环丙沙星)结构相似的新型候选药物。我们研究了环丙沙星的新型相似化合物与细菌蛋白金黄色葡萄球菌 TyrRS(1JIJ)和痛风关节炎相关蛋白中性粒细胞胶原酶(3DPE)的相互作用。尿毒症和痛风通过尿酸水平的升高相互关联。我们的目标是找出具有双重功能的化合物:对 UTIs 的抗菌活性和抗风湿特性。我们采用多种方法进行筛选,选出了六种有前景的配体。其中四种配体(L1、L2、L3 和 L6)与这两种蛋白质都有良好的氢键结合,因此被选为进一步分析的对象。这些配体与两种蛋白质的结合亲和力为 -8.3 至 -9.1 kcal/mol,显示出很强的相互作用潜力。值得注意的是,L6 与金黄色葡萄球菌 TyrRS 和中性粒细胞胶原酶的结合能最高,分别为 -9.10 和 -9.01 kcal/mol。此外,pkCSM 在线数据库对所有先导配体进行的 ADMET 分析表明,L6 可能具有最高的肠道吸收率和合理的总清除率。此外,L6 对这两种蛋白质都显示出最佳预测抑制常数。所有复合物系统,即 L1、L2、L3 和 L6 的平均 RMSF 值分别为 0.43 Å、0.57 Å、0.55 Å 和 0.51 Å,其中配体残基显示出最大的稳定性。优化分子 L1 和 L6 的 HOMO 与 LUMO 之间的能隙较小,仅为 3.85 eV,这表明它们是具有生物活性的化合物。所有选定的四种药物都显示出相当大的稳定能,范围在 44.78 至 103.87 kcal/mol 之间,这意味着所有四种化合物都具有化学和物理稳定性。总之,这项研究为开发具有抗菌和抗关节炎双重功能的新型治疗药物开辟了令人兴奋的途径。
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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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