兽药库建设与药品再利用。

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Qingyan Tian, Daozhong Wang, Yanfei Zhang, Yingge Zheng, Liang Luo, Zhiyuan Huang, Jiawei Li, Fan Wang* and Dengguo Wei*, 
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引用次数: 0

摘要

人工智能驱动的药物发现依赖于多尺度数据集成。然而,兽药开发领域目前缺乏对药物-疾病-靶点信息的系统整合。为了解决这一差距,我们建立了兽药库(https://ys.yuhoutech.com/vp/#/home, VDB)。VDB整合了PubChem、VSDB、FDA绿皮书、TTD、Papich兽药手册等多源权威资源,对891种临床兽药进行了系统表征。这包括它们的基本属性、结构/物理化学性质和271个独特的治疗靶点,这些药物在50多种动物中显示出疗效。该数据库注释了956种atcvet编码的适应症和904种icd -11分类的疾病,从而为人工智能驱动的药物发现提供了坚实的基础。猪流行性腹泻病毒(PEDV)造成新生仔猪的高死亡率和巨大的经济损失,威胁着全球养猪生产。为了解决对抗PEDV治疗药物的迫切需求,我们以PEDV为例研究了VDB的药物再利用功能。鉴于PEDV与冠状病毒科成员的基因组和靶点相似性,我们对兽药与400多种抗冠状病毒化合物进行了相似性评估。我们鉴定出两种抗寄生虫药物Eprinomectin (VDB00307)和Selamectin (VDB00726)对PEDV具有抗病毒活性。该研究展示了兽药药物再利用的潜力,为人工智能驱动的药物设计提供了数据支持,从而加速了新型兽药的开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Construction of the Veterinary DrugBank and Drug Repurposing

Construction of the Veterinary DrugBank and Drug Repurposing

AI-driven drug discovery relies on multiscale data integration. However, the veterinary drug development field currently lacks systematic integration of drug-disease-target information. To address this gap, we constructed the Veterinary DrugBank (https://ys.yuhoutech.com/vp/#/home, VDB). VDB integrates multisource authoritative resources (PubChem, VSDB, FDA Green Book, TTD, and Papich Handbook of Veterinary Drugs) to systematically characterize 891 clinical veterinary drugs. This includes their fundamental attributes, structural/physicochemical properties, and 271 unique therapeutic targets, with the drugs demonstrating efficacy across >50 anmial species. The database annotates 956 ATCvet-coded indications and 904 ICD-11-classified diseases, thereby providing a robust foundation for AI-driven drug discovery. Porcine epidemic diarrhea virus (PEDV) causes high mortality in neonatal piglets and substantial economic losses, threatening global swine production. To address the urgent need for anti-PEDV therapeutics, we demonstrate VDB’s drug repurposing utility using PEDV as a case study. Given the genomic and target similarities between PEDV and Coronaviridae family members, we conducted a similarity assessment between veterinary drugs and over 400 anticoronavirus compounds. We identified two antiparasitic agents, Eprinomectin (VDB00307) and Selamectin (VDB00726), which exhibited antiviral activity against PEDV. This study demonstrates the potential of drug repurposing in veterinary medicine and provides data support for AI-driven drug design, thereby accelerating the development of novel veterinary drugs.

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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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