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

This data is a large dataset that cannot be displayed on the webpage in the public Ph.D. Dissertation "Evolution of Animal Interleukin Pathways and High-throughput Screening for Anti-inflammatory Phytocomponents" to be submitted by the end of December 2025. 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. Finally, differential expression analysis and other methods were used to evaluate the regulatory potential of plant components on human IL four major family ligand and receptor genes, and potential anti-inflammatory plants were screened. The submitted data includes the original gene family protein sequence information used in the paper, multiple sequence alignment information, and sequence SeqLogo information, and original high-resolution image in the original Dissertation. All information can serve as effective references for drug design of the four major families of interleukin receptors and ligands. For detailed parameter information, please refer to the original paper.