Rajat Kumar Mondal, Ananya Anurag Anand, Sintu Kumar Samanta
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引用次数: 0
Abstract
Dengue, a significant mosquito-borne disease, presents a global health challenge with limited treatment options. Recently, there have been estimates of 390 million dengue infections annually worldwide. Thus, Dengue viruses (DENV) continue to result in a severe burden on human health all over the world. Here, we are introducing the Anti-Dengue Peptide Database (ADPDB) as a comprehensive knowledgebase dedicated to anti-dengue peptides, aiming to aid research and development efforts against the dengue virus. ADPDB consolidates information on antimicrobial peptides (AMPs) exhibiting anti-dengue activity, sourced from extensive literature curation. The database provides a user-friendly interface offering functionalities such as simple and advanced search options, data retrieval, and customizable reports. Currently housing 606 peptide entries, ADPDB encompasses peptides from various sources, including natural and synthetic origins. Name, sequence, source, target, mode of action (MoA), length, IC50, toxicity, hemolytic activity of peptides are meticulously curated, facilitating insights into their therapeutic potential. Notably, ADPDB addresses the gap in specialized databases focusing on anti-DENV peptides, aligning with the growing interest in peptide-based therapeutics. The database enables researchers, pharmaceutical industries, and clinicians to explore peptide candidates, study structure-activity relationships, and accelerate drug discovery processes. By leveraging bioinformatics-driven approaches, ADPDB aims to advance the understanding and development of peptide-based interventions against dengue. This resource is accessible via any web browser at URL: https://bblserver.org.in/adpdb/.
Graphical abstract
Graphical abstract of ADPDB (for the creation of graphical abstract, we have used the image of dengue virus (PDB ID: 1K4R by Kuhn et al in Structure of dengue virus: implications for flavivirus organization, maturation, and fusion, Cell, 108(5):717–725, 2002), image of arenicin-1 AMP (PDB ID: 2JSB by Andrä et al in Structure and mode of action of the antimicrobial peptide arenicin, Biochem J, 410(1):113–122, 2008), and image of an PubMed article (PMID: 29200948 by Chew MiawFang et al in Peptides as therapeutic agents for dengue virus, Int J Med Sci 14(13):1342–1359, 2017). The remaining images are generated and incorporated by us).
登革热是一种由蚊子传播的重大疾病,对全球健康构成挑战,但治疗方法却很有限。最近,据估计全球每年有 3.9 亿登革热感染病例。因此,登革热病毒(DENV)继续给全世界人类健康造成严重负担。在此,我们介绍抗登革热多肽数据库(ADPDB),这是一个专门研究抗登革热多肽的综合知识库,旨在帮助研究和开发工作对抗登革热病毒。ADPDB 整合了通过大量文献整理获得的具有抗登革热活性的抗菌肽 (AMP) 信息。该数据库提供用户友好型界面,具有简单和高级搜索选项、数据检索和定制报告等功能。ADPDB 目前收录了 606 个多肽条目,囊括了各种来源的多肽,包括天然和合成来源。多肽的名称、序列、来源、靶点、作用模式 (MoA)、长度、IC50、毒性、溶血活性等信息都经过精心整理,有助于深入了解其治疗潜力。值得注意的是,ADPDB 弥补了专注于抗 DENV 肽的专业数据库的空白,符合人们对基于肽的疗法日益增长的兴趣。该数据库使研究人员、制药行业和临床医生能够探索候选多肽,研究其结构与活性的关系,并加速药物发现过程。通过利用生物信息学驱动的方法,ADPDB 旨在促进对基于多肽的登革热干预措施的了解和开发。该资源可通过任何网络浏览器访问,网址为:https://bblserver.org.in/adpdb/。图形摘要ADPDB 的图形摘要(在创建图形摘要时,我们使用了登革病毒的图像(PDB ID: 1K4R by Kuhn et al in Structure of dengue virus: implications for flavivirus organization, maturation, and fusion, Cell, 108(5):717-725, 2002)、arenicin-1 AMP 的图像(PDB ID:2JSB by Andrä et al in Structure and mode of action of the antimicrobial peptide arenicin, Biochem J, 410(1):113-122, 2008),以及 PubMed 文章的图片(PMID: 29200948 by Chew MiawFang et al in Peptides as therapeutic agents for dengue virus, Int J Med Sci 14(13):1342-1359, 2017)。其余图片由我们生成并纳入)。