The network performed GO enrichment analysis to identify the underlying “biological meanings”.

The network performed GO enrichment analysis to identify the underlying “biological meanings”.

<p>The network performed GO enrichment analysis to identify the underlying “biological meanings”.</p>

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Bibliographic Details
Main Author:	Zhengtian Li (5076704) (author)
Other Authors:	Mubbashar Hassan (22581989) (author), Hafiz Ishfaq Ahmad (6599714) (author), Muhammad Adnan Ashraf (11722616) (author), Akhtar Rasool Asif (22581992) (author), Iram Qadeer (21560432) (author), Abid Hussain Shahzad (22581995) (author), Shaista Abbas (22581998) (author), Muhammad Sajid (710360) (author), Abdul Mateen (12055673) (author), Irfan Ahmed (1544971) (author), Jamal Muhammad (22582001) (author), Sayyed Aun Muhammad (22582004) (author), Farid S. Ataya (5843780) (author)
Published:	2025
Subjects:	Microbiology Cell Biology Genetics Molecular Biology Evolutionary Biology Immunology Infectious Diseases Biological Sciences not elsewhere classified genes &# 8217 15 &# 8211 functional domains critical functional annotation highlighted conserved functional domains 05 ), particularly key immune regulators immune genes adapting tnfsf4 remained conserved related genes gbp5 functional genomics 1 ), immune regulation xlink "> vaccine design tnfsf4 ). th2 differentiation study provides specific patterns software tool selection analysis selected sites protein sequences pathogen recognition offering insights molecular signatures lymphocyte regulation kegg hsa04658 integrating phylogenetics inflammasome activation identify patterns findings underscore evolutionary dynamics cytokine regulation comprehensive phylogenetic comparing rates biological relevance assess co active tissues
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