Roy Subarna, Basak Subhankar, Roy Shristi, Dey Paromita, Barman Hema, Singh Bhagat, Sarkar Kaushik, Sen Subhadeep, Das Rajesh Kumar, Debnath Sudhan, Biswas Goutam
Department of Chemistry, Cooch Behar Panchanan Barma University, Cooch Behar, West Bengal, 736101, India.
Department of Chemistry, Indian Institute of Technology Indore, Khandwa Road, Simrol, Madhya Pradesh, 453552, India.
Curr Med Chem. 2024 Oct 24. doi: 10.2174/0109298673337912241007120510.
The disability and mortality related to Parkinson's disease (PD), a neurodegenerative disease, are increasing globally at a faster rate than other neurological disorders. With no permanent cure for PD, there is an urgent need to develop novel and effective anti-PD drugs.
Targeting monoamine oxidases (MAO), which catalyze the breakdown of neurotransmitters, is one way to treat neurodegenerative diseases. In this context, an initial molecular docking of twenty designed sulfonyl derivatives of benzimidazole against monoamine oxidase B (MAO-B) associated with PD was conducted using AutoDock Vina.
The results were compared with those of the conventional inhibitors, selegiline and rasagiline. Based on the docking score, the in-silico pharmacokinetic properties (ADME), drug-likeness, and toxicity profiles of the newly synthesized molecules were examined using SwissADME, PreADMET, ProTox-3.0, vNN, and ADMETlab web tools. Then, twelve potential derivatives were synthesized and characterized by IR, 1H-NMR, 13C-NMR, 19F-NMR (for some compounds), and mass spectrometry. Derivatives 2cj and 1bj were the two molecules having the best binding affinity of -11.9 and -11.8 kcal/mol, respectively, against MAOB, exhibiting a higher binding affinity compared to that of some commercially available drugs. A 50 ns MD simulation run was performed to observe the stability of the top two docked complexes, MAO-B-2cj and MAO-B-1bj, in order to further validate the efficacy of those two substances. Moreover, the MM-PBSA method was used to calculate the final, binding free energy of the simulated (MAO-B-2cj) complex.
This study indicates that the binding affinity of most of the hits was superior to that of known MAO inhibitors; therefore, these newly synthesized benzimidazole derivatives may be developed into essential drug candidates for the treatment of PD.
帕金森病(PD)作为一种神经退行性疾病,其导致的残疾和死亡率在全球范围内的增长速度比其他神经系统疾病更快。由于目前尚无治愈PD的永久性方法,因此迫切需要开发新型有效的抗PD药物。
靶向单胺氧化酶(MAO),即催化神经递质分解的酶,是治疗神经退行性疾病的一种方法。在此背景下,使用AutoDock Vina对二十种设计的苯并咪唑磺酰基衍生物与PD相关的单胺氧化酶B(MAO-B)进行了初步分子对接。
将结果与传统抑制剂司来吉兰和雷沙吉兰的结果进行了比较。基于对接分数,使用SwissADME、PreADMET、ProTox-3.0、vNN和ADMETlab网络工具检查了新合成分子的计算机模拟药代动力学性质(ADME)、药物相似性和毒性概况。然后,合成了十二种潜在衍生物,并通过红外光谱、1H-NMR、13C-NMR、19F-NMR(某些化合物)和质谱进行了表征。衍生物2cj和1bj是对MAO-B具有最佳结合亲和力的两个分子,分别为-11.9和-11.8 kcal/mol,与一些市售药物相比,具有更高的结合亲和力。进行了50 ns的分子动力学模拟,以观察排名前两位的对接复合物MAO-B-2cj和MAO-B-1bj的稳定性,以进一步验证这两种物质的疗效。此外,使用MM-PBSA方法计算了模拟的(MAO-B-2cj)复合物的最终结合自由能。
本研究表明,大多数命中物的结合亲和力优于已知的MAO抑制剂;因此,这些新合成的苯并咪唑衍生物可能被开发成为治疗PD的重要候选药物。