Assessing novel analogues of nilutamide as a human androgen receptor antagonist: A detailed investigation of drug design using a bioisosteric methodology including ADMET profiling, molecular docking studies and molecular dynamics simulation

IF 3.1 4区 生物学 Q2 BIOLOGY Computational Biology and Chemistry Pub Date : 2025-08-01 Epub Date: 2025-03-15 DOI:10.1016/j.compbiolchem.2025.108424
Ajay Kumar Gupta , Yogita Sahu , Dipti Pal , Neeraj Kumar , Sanmati Kumar Jain
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Abstract

Cancer is a significant health and economic concern worldwide. Prostate cancer (PC) ranks as the fourth leading cause of global death and is the second most prevalent malignancy in males. Androgens are essential for the progress and growth of the prostate gland. PC is caused by androgens binding to receptors, which activates genes that promotes the development of PC. Nilutamide (NLM) is an antiandrogen medicine used in the treatment of PC. However, throughout treatment, it induces various toxicities and leads to resistance in patients. The objective of the work was to designed and evaluated safer NLM analogues using computational approaches with optimized pharmacokinetic profiles and less toxicity. Newer bioisosteres of the designed NLM analogues and their ADMET scores were calculated using the MolOpt and ADMETlab 3.0 tools, respectively. We conducted docking investigations of the designed ligands using AutoDock Vina software. The MolOpt web server produces 1575 bioisosteres of NLM using the scaffold transformation method. The 47 bioisosteres were selected based on pharmacokinetic profiles, drug likeness (DL) and drug score (DS) prediction scores and were determined to be optimum to excellent in comparison to NLM. The analogues NLM28, NLM31, NLM34, NLM38, NLM40, NLM44, NLM45, and NLM47 exhibited favorable interactions and docking scores with the protein (PDB ID: 2AM9). The molecular dynamics (MD) simulation results revealed that the NLM34 and NLM40 complexes were found stable during the 100 ns run. The findings indicate that the NLM analogues, particularly NLM34 and NLM40 have the potential to be used as promising antiandrogen agents for PC therapy.
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评估尼鲁胺作为人类雄激素受体拮抗剂的新型类似物:使用生物等构方法进行药物设计的详细研究,包括ADMET分析,分子对接研究和分子动力学模拟
癌症是世界范围内一个重大的健康和经济问题。前列腺癌(PC)是全球第四大死亡原因,也是男性中第二大恶性肿瘤。雄激素对前列腺的发育和生长至关重要。前列腺癌是由雄激素与受体结合引起的,受体激活了促进前列腺癌发展的基因。尼鲁胺(Nilutamide, NLM)是一种用于治疗前列腺癌的抗雄激素药物。然而,在整个治疗过程中,它会诱发各种毒性并导致患者产生耐药性。这项工作的目的是设计和评估更安全的NLM类似物,使用优化的药代动力学特征和更低的毒性计算方法。使用MolOpt和ADMETlab 3.0工具分别计算所设计NLM类似物的新生物同分体及其ADMET评分。我们使用AutoDock Vina软件对设计的配体进行对接研究。MolOpt web服务器使用支架转化方法产生1575个NLM生物同质异构体。根据药代动力学特征、药物相似度(DL)和药物评分(DS)预测评分选择47个生物异构体,并将其与NLM进行比较,确定为最优至优。类似物NLM28、NLM31、NLM34、NLM38、NLM40、NLM44、NLM45和NLM47与该蛋白表现出良好的相互作用和对接得分(PDB ID: 2AM9)。分子动力学(MD)模拟结果表明,NLM34和NLM40配合物在100 ns的运行中是稳定的。研究结果表明,NLM类似物,特别是NLM34和NLM40有潜力作为抗雄激素药物用于PC治疗。
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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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