TITLE:
Seasonal DISDB: A Novel Computational Database for Chemical Profiling of Seasonal Diseases
AUTHORS:
Venu Paritala, Harsha Thummala, Sukesh Kalva, Rajashekhar Reddy Shagamreddy, Jagadish Mandava
KEYWORDS:
Seasonal, Phylogenetic, Genomic, Proteomic, Target, GenBank, Pubmed, Disease, Bioinformatics
JOURNAL NAME:
Voice of the Publisher,
Vol.10 No.4,
December
31,
2024
ABSTRACT: Systems biology, an emerging field, investigates the interactions of genes and drug actions across various levels of complexity, ranging from molecular and cellular to tissue and organism levels. Seasonal diseases, often overlooked by the global population, pose a significant threat to public health, potentially as dangerous as, if not more than, many chronic diseases. Every year, around a billion cases of seasonal diseases occur worldwide, with 3 to 5 million resulting in severe illness, and an estimated 290,000 to 650,000 deaths annually. Recognizing the critical need to bridge the expanding realm of biological knowledge with vaccine biology to combat these diseases, we introduce an international Seasonal Database (SD). This database integrates genomic, proteomic, and therapeutic resources, encompassing disease-associated genes, proteins, epitopes, and molecular phylogeny. Our compilation includes over 3000 genes annotated for 2000 proteins, providing a comprehensive resource for in-depth exploration of seasonal diseases. SD facilitates in silico evaluations to predict epitopes capable of triggering T-cell responses, and offers a wealth of disease-related information, including symptoms, precautions, treatments, and approved drugs. Additionally, the database aids in selecting new compounds based on their activity profiles against a wide range of biological targets, including those linked to adverse drug events. The user-friendly interface of SD incorporates embedded bioinformatics tools, enabling precise in silico experiments, and can be accessed at https://seasonaldatabase.shinyapps.io/Seasonaldis/).