基于药的虚拟查,分子对接和分子动力学研究,用于识别新型的海洋芳酶抑制剂

相关实验视频

Updated: Jun 6, 2025

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors

Published on: May 9, 2025

Mohamed A Kotb¹, Islam Ahmed Abdelmawgood², Ibrahim M Ibrahim³

¹1Department of Zoology, Faculty of Science, Cairo University, Giza, Egypt. mkotb@sci.cu.edu.eg.

|November 27, 2024

概括

海洋天然产品通过向人类芳香酶酶,为乳腺癌治疗提供了新的希望. CMPND 27987显示出作为稳定和有效的抑制剂的巨大潜力,需要进一步开发药物.

科学领域:

生物化学生物化学
药理学药理学是指药理学的学科.
海洋生物技术海洋生物技术

背景情况:

乳腺癌是全球主要的健康问题,尤其是绝经后妇女.
目前的芳香酶抑制剂 (AIs) 显示出有效性,但受到药物耐药性和副作用的限制.
由于其化学多样性,海洋天然产品是新型治疗剂的有希望的来源.

研究的目的:

确定抑制人类芳香酶酶的新型海洋天然产品.
探索这些化合物的潜力,作为治疗乳腺癌的治疗剂.

主要方法:

利用基于连接体和基于结构的药模拟来进行虚拟查.
从综合性海洋天然产品数据库中选了超过31,000种化合物.
进行了分子对接,分子动力学和MM-GBSA计算,以评估结合亲和力和稳定性.

主要成果:

从虚拟选中确定了1385个潜在的海洋自然产品候选者.
四种化合物对芳香酶表现出强烈的结合亲和力,其中CMPND 27987表现出最高亲和力 (-10.1 kcal/mol).
CMPND 27987在芳酶活性部位表现出最大的稳定性,这得到了分子动力学和MM-GBSA (-27.75 kcal/mol) 的证实.

结论:

CMPND 27987有效地与人类芳香酶活性部位相互作用,显示出高亲和力和稳定性.
这种来自海洋的化合物显示出作为一种新型乳腺癌治疗剂的进一步开发的巨大潜力.
在的发现支持CMPND 27987作为药物优化的一个有希望的头.

关键词:

芳香酶是一种芳香酶.芳香酶抑制剂芳香酶抑制剂分子对接是分子对接.分子动力学分子动力学药科类动物 (Pharmacophore) 是一种药科类动物.虚拟选是一个虚拟的选.

更多相关视频

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

Parallel Interrogation of β-Arrestin2 Recruitment for Ligand Screening on a GPCR-Wide Scale using PRESTO-Tango Assay

Parallel Interrogation of β-Arrestin2 Recruitment for Ligand Screening on a GPCR-Wide Scale using PRESTO-Tango Assay

Published on: March 10, 2020

相关概念视频

Structure-Activity Relationships and Drug Design

Structure-Activity Relationships and Drug Design

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...

Drug Discovery: Overview

Drug Discovery: Overview

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...