ADPDB: A Comprehensive Knowledgebase of Manually Curated Peptides Against Dengue Virus

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).