Evolution of Animal Interleukin Pathways and High-throughput Screening for Anti-inflammatory Phytocomponents

This study is based on over 400 animal genomes and annotation files, utilizing modern bioinformatics, phylogenetics, comparative immunology, and other theories and tools to annotate the domains, identify families, cluster, classify, identify motifs, and identify new subtypes of ligands (IL-1s, IL-10s, IL-12s, IL-17s) and receptors (IL-1Rs, IL-10Rs, IL-12Rs, IL-17Rs) of the four major IL families: IL-1, IL-10, IL-12, and IL-17.

Further utilize tools such as ESMfold for large-scale protein 3D structure prediction, spatial structure alignment, secondary structure analysis, conservative feature recognition, signal peptide analysis, cross species distribution characteristics, and species-specific feature analysis. In addition, based on RNA-seq data from human tumor cell lines (HepG2, SW480), high-throughput anti-inflammatory phytocomponent screening analysis was conducted on over 180 plants.