{"title":"磷酸二酯酶1B和磷酸二酯酶10A抑制的选择性机制研究。","authors":"Jianheng Li, Pengfei Song, Hanxun Wang, Wenxiong Lian, Jiabo Li, Zhijian Wang, Yaming Zhang, Qingkui Cai, Huali Yang, Maosheng Cheng","doi":"10.1016/j.compbiolchem.2024.108322","DOIUrl":null,"url":null,"abstract":"<p><p>Due to the unclear selectivity of the protein system, designing selective small molecule inhibitors has been a significant challenge. This issue is particularly prominent in the phosphodiesterases (PDEs) system. Phosphodiesterase 1B (PDE1B) and phosphodiesterase 10 A (PDE10A) are two closely related subtypes of PDE proteins that play diverse roles in the immune system and tumorigenesis, respectively. Distinguishing the selective mechanism of these two subtypes is crucial for maximizing therapeutic efficacy and minimizing the side effects of inhibitors. We have investigated the interactions between crucial amino acid residues and selective inhibitors through several computer-aided drug design methods such as molecular docking, molecular dynamic simulation, MM/GBSA calculation, and alanine scanning mutagenesis revealing the selective inhibition mechanism between PDE1B and PDE10A. Our finding shows the selective residues of PDE1B are His373 and Gln421, while the selective residues for PDE10A are Tyr683 and Phe719. Specifically, PDE10A inhibitors form hydrogen bonds and hydrophobic interactions with Tyr683 and Phe719, whereas PDE1B inhibitors only demonstrate weak hydrophobic interactions in the corresponding region. Overall, elucidating the selectivity mechanism underlying the differential interaction between PDE1B and PDE10A is crucial for designing inhibitors with distinct selectivity towards PDE1B/10 A.</p>","PeriodicalId":93952,"journal":{"name":"Computational biology and chemistry","volume":"115 ","pages":"108322"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Selectivity mechanism of inhibition towards Phosphodiesterase 1B and phosphodiesterase 10A in silico investigation.\",\"authors\":\"Jianheng Li, Pengfei Song, Hanxun Wang, Wenxiong Lian, Jiabo Li, Zhijian Wang, Yaming Zhang, Qingkui Cai, Huali Yang, Maosheng Cheng\",\"doi\":\"10.1016/j.compbiolchem.2024.108322\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Due to the unclear selectivity of the protein system, designing selective small molecule inhibitors has been a significant challenge. This issue is particularly prominent in the phosphodiesterases (PDEs) system. Phosphodiesterase 1B (PDE1B) and phosphodiesterase 10 A (PDE10A) are two closely related subtypes of PDE proteins that play diverse roles in the immune system and tumorigenesis, respectively. Distinguishing the selective mechanism of these two subtypes is crucial for maximizing therapeutic efficacy and minimizing the side effects of inhibitors. We have investigated the interactions between crucial amino acid residues and selective inhibitors through several computer-aided drug design methods such as molecular docking, molecular dynamic simulation, MM/GBSA calculation, and alanine scanning mutagenesis revealing the selective inhibition mechanism between PDE1B and PDE10A. Our finding shows the selective residues of PDE1B are His373 and Gln421, while the selective residues for PDE10A are Tyr683 and Phe719. Specifically, PDE10A inhibitors form hydrogen bonds and hydrophobic interactions with Tyr683 and Phe719, whereas PDE1B inhibitors only demonstrate weak hydrophobic interactions in the corresponding region. Overall, elucidating the selectivity mechanism underlying the differential interaction between PDE1B and PDE10A is crucial for designing inhibitors with distinct selectivity towards PDE1B/10 A.</p>\",\"PeriodicalId\":93952,\"journal\":{\"name\":\"Computational biology and chemistry\",\"volume\":\"115 \",\"pages\":\"108322\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-12-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational biology and chemistry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.compbiolchem.2024.108322\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational biology and chemistry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.compbiolchem.2024.108322","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
由于蛋白质系统的选择性尚不清楚,设计选择性小分子抑制剂一直是一个重大挑战。这个问题在磷酸二酯酶(PDEs)系统中尤为突出。磷酸二酯酶1B (PDE1B)和磷酸二酯酶10 A (PDE10A)是两种密切相关的PDE蛋白亚型,分别在免疫系统和肿瘤发生中发挥不同的作用。区分这两种亚型的选择机制对于最大限度地提高治疗效果和减少抑制剂的副作用至关重要。我们通过分子对接、分子动力学模拟、MM/GBSA计算、丙氨酸扫描诱变等计算机辅助药物设计方法研究了关键氨基酸残基与选择性抑制剂之间的相互作用,揭示了PDE1B和PDE10A之间的选择性抑制机制。我们发现PDE1B的选择性残基是His373和Gln421,而PDE10A的选择性残基是Tyr683和Phe719。具体而言,PDE10A抑制剂与Tyr683和Phe719形成氢键和疏水相互作用,而PDE1B抑制剂仅在相应区域表现出弱疏水相互作用。总之,阐明PDE1B和PDE10A之间差异相互作用的选择性机制对于设计对PDE1B/10 A具有不同选择性的抑制剂至关重要。
Selectivity mechanism of inhibition towards Phosphodiesterase 1B and phosphodiesterase 10A in silico investigation.
Due to the unclear selectivity of the protein system, designing selective small molecule inhibitors has been a significant challenge. This issue is particularly prominent in the phosphodiesterases (PDEs) system. Phosphodiesterase 1B (PDE1B) and phosphodiesterase 10 A (PDE10A) are two closely related subtypes of PDE proteins that play diverse roles in the immune system and tumorigenesis, respectively. Distinguishing the selective mechanism of these two subtypes is crucial for maximizing therapeutic efficacy and minimizing the side effects of inhibitors. We have investigated the interactions between crucial amino acid residues and selective inhibitors through several computer-aided drug design methods such as molecular docking, molecular dynamic simulation, MM/GBSA calculation, and alanine scanning mutagenesis revealing the selective inhibition mechanism between PDE1B and PDE10A. Our finding shows the selective residues of PDE1B are His373 and Gln421, while the selective residues for PDE10A are Tyr683 and Phe719. Specifically, PDE10A inhibitors form hydrogen bonds and hydrophobic interactions with Tyr683 and Phe719, whereas PDE1B inhibitors only demonstrate weak hydrophobic interactions in the corresponding region. Overall, elucidating the selectivity mechanism underlying the differential interaction between PDE1B and PDE10A is crucial for designing inhibitors with distinct selectivity towards PDE1B/10 A.