基于酸的HDAC抑制剂的专利格局 (2020-2024):结构-活性关系和机制性见解
Ekta Shirbhate1, Vaibhav Singh1, Vidya Prabha1
1Department of Pharmacy, Guru Ghasidas University, Bilaspur, India.
Expert opinion on therapeutic patents
|November 18, 2025
概括
以酸为基础的基因素脱乙酶 (HDAC) 抑制剂是重要的抗癌药物. 最近的专利显示了选择性HDAC抑制剂的进步,提高了癌症治疗的疗效和减少了副作用.
科学领域:
- 药用化学 医学化学
- 在瘤学瘤学.
- 药物发现 药物发现 药物发现
背景情况:
- 希斯脱乙酶 (HDAC) 抑制剂是重要的抗癌化疗药物.
- HDAC 抑制剂调节细胞通路和表观遗传基因表达,对于解决复杂的癌症病因至关重要.
研究的目的:
- 为了全面总结2020-2024年期间获得专利的HDAC抑制剂.
- 分析结构差异,结构-活性关系 (SAR),以及新型HDAC抑制剂在癌症治疗中的应用.
- 为在HDAC抑制剂设计中使用的异环基架提供机械洞察力.
主要方法:
- 从2020-2024年使用谷歌专利对专利的文献审查.
- 分析各种异环化合物的结构特征和SAR.
- 报告IC50值和机械学数据的评估.
主要成果:
- 在合成具有纳米和微分子IC50值的选择性HDAC抑制剂方面取得了重大进展,超过了像vorinostat这样的传统药物.
- 双重准策略的出现,以提高有效性并最大限度地减少副作用.
- 详细的SAR研究跨多种异环基架 (皮里米丁,金纳,氧迪亚,等等. ) 的情况.
结论:
- 选择性HDAC抑制剂的开发显示出改善癌症治疗的有希望的潜力.
- 双重向方法提供了一个可行的策略,以提高治疗结果.
- 对异环基架的SAR的进一步研究对于未来的药物开发至关重要,旨在提高选择性和降低毒性.
关键词:
抗扩散药物 抗扩散药物HDAC 抑制剂的使用细胞系细胞系的细胞系.有效性 有效性 有效性.胺酸是指胺酸中的一种.这是一种抑制性抑制剂.patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent patent相关概念视频
Structure-Activity Relationships and Drug Design
1.7K
Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
1.7K
Drug Discovery: Overview
10.9K
Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
10.9K
Protein-Drug Binding: Mechanism and Kinetics
1.6K
Protein-drug binding refers to the interaction between drugs and proteins within the body. This binding process can occur intracellularly, involving drug interactions with enzymes or receptors within cells, or extracellularly, involving plasma proteins in the blood.
Various forces drive these interactions, including hydrogen bonds, hydrophobic interactions, ionic bonds, electrostatic interactions, and van der Waals forces. These bonds enable drugs to bind to specific sites on proteins,...
Various forces drive these interactions, including hydrogen bonds, hydrophobic interactions, ionic bonds, electrostatic interactions, and van der Waals forces. These bonds enable drugs to bind to specific sites on proteins,...
1.6K


