利用计算研究重新设计组织蛋白酶B1抑制剂作为潜在的抗血吸虫药物。

Q2 Biochemistry, Genetics and Molecular Biology
Advances and Applications in Bioinformatics and Chemistry Pub Date : 2022-08-01 eCollection Date: 2022-01-01 DOI:10.2147/AABC.S361626
Abdulrahim A Alzain, Fatima A Elbadwi
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引用次数: 1

摘要

背景:血吸虫病是世界上仅次于疟疾的第二大破坏性疾病,也是发展中国家2亿多人患病和死亡的主要原因。半胱氨酸蛋白酶,特别是SmCB1,是研究最充分的这种疾病的生物学靶点。目的:应用计算机技术设计具有良好药动学特性的SmCB1蛋白抗血吸虫药。方法:建立基于smCB1受体的药效团模型,从Enamine文库中筛选567,000个片段。最好的评分片段被连接起来构建新的化合物,进行分子对接、MM-GBSA自由能估计、ADME预测和分子动力学。结果:建立了七点药效团假说。利用提出的假设筛选1.3 M片段构象。其中,23732个片段符合假设,并对该蛋白进行了筛选。利用前50个片段利用Breed配体面板设计新的7745化合物,并进行对接和MMGBSA结合能。与参考结合配体相比,这10个化合物具有更好的对接分数(-8.033 ~ -7.483 kcal/mol)和更低的自由能(-58.49 ~ -40.02 kcal/mol)。大多数设计的化合物表现出良好的药物性质。分子动力学(MD)模拟结果表明,前3位配合物的均方根偏差(RMSD)在0.25 ~ 1.2 Å之间,表明其稳定性。结论:我们利用各种计算工具,通过靶向SmCB1,确定了可能成为寻找新型曼氏血吸虫抑制剂的潜在候选化合物。新设计的3个化合物,即品种1、2和3,对靶点具有良好的亲和力和良好的药物样特性,可能被认为是潜在的抗血吸虫药物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

De Novo Design of Cathepsin B1 Inhibitors as Potential Anti-Schistosomal Agents Using Computational Studies.

De Novo Design of Cathepsin B1 Inhibitors as Potential Anti-Schistosomal Agents Using Computational Studies.

De Novo Design of Cathepsin B1 Inhibitors as Potential Anti-Schistosomal Agents Using Computational Studies.

De Novo Design of Cathepsin B1 Inhibitors as Potential Anti-Schistosomal Agents Using Computational Studies.

Background: Schistosomiasis is the world's second most devastating disease after malaria and the leading cause of disease and mortality for more than 200 million people in developing countries. Cysteine proteases, in particular SmCB1, are the most well-researched biological targets for this disorder.

Objective: To apply computational techniques to design new antischistosomal agents against SmCB1 protein with favorable pharmacokinetic properties.

Methods: The smCB1 receptor-based pharmacophore model was created and used to screen 567,000 fragments from the Enamine library. The best scoring fragments have been linked to build novel compounds that were subjected to molecular docking, MM-GBSA free energy estimation, ADME prediction, and molecular dynamics.

Results: A seven-point pharmacophore hypothesis ADDDRRR was created. The developed hypothesis was used to screen 1.3 M fragment conformations. Among them, 23,732 fragments matched the hypothesis and screened against the protein. The top 50 fragments were used to design new 7745 compounds using the Breed ligand panel which were subjected to docking and MMGBSA binding energy. This led to the identification of 10 compounds with better docking scores (-8.033- -7.483 kcal/mol) and lower-bound free energies (-58.49 - -40.02 kcal/mol) compared to the reference bound ligand. Most of the designed compounds demonstrated good drug-like properties. Concerning Molecular dynamics (MD) simulation results, a low root mean square deviation (RMSD) range (0.25-1.2 Å) was found for the top 3 complexes which indicated their stability.

Conclusion: We identified compounds that could be potential candidates in the search for novel Schistosoma mansoni inhibitors by targeting SmCB1 utilizing various computational tools. Three newly designed compounds namely breed 1, 2, and 3 showed promising affinity to the target as well as favorable drug-like properties which might be considered potential anti-schistosomal agents.

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来源期刊
Advances and Applications in Bioinformatics and Chemistry
Advances and Applications in Bioinformatics and Chemistry Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (miscellaneous)
CiteScore
6.50
自引率
0.00%
发文量
7
审稿时长
16 weeks
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