2021/02/05 by Jayanta Kumar Das, Swarup Roy, Pietro Hiram Guzzi · 30 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Bioinformatics and Genomic Networks #Biology #Computational Drug Discovery Methods #Computational biology #Endoplasmic Reticulum Stress and Disease #Gene #Genetics #Host (biology) #Immunology #Interaction network #Interactome #Mechanism (biology) #Pathogenesis #Proteomics #Signal transduction #cs.LG #q-bio.BM
paper · pdf · doi:10.1016/j.meegid.2021.104921
published in Infection Genetics and Evolution 93, 104921 (Elsevier BV)
arxiv created 2021/02/05 · openalex publication_date 2021/05/15 · arxiv updated 2021/05/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
The development of therapeutic targets for COVID-19 treatment is based on the understanding of the molecular mechanism of pathogenesis. The identification of genes and proteins involved in the infection mechanism is the key to shed out light into the complex molecular mechanisms. The combined effort of many laboratories distributed throughout the world has produced the accumulation of both protein and genetic interactions. In this work we integrate these available results and we obtain an host protein-protein interaction network composed by 1432 human proteins. We calculate network centrality measures to identify key proteins. Then we perform functional enrichment of central proteins. We observed that the identified proteins are mostly associated with several crucial pathways, including cellular process, signalling transduction, neurodegenerative disease. Finally, we focused on proteins involved in causing disease in the human respiratory tract. We conclude that COVID19 is a complex disease, and we highlighted many potential therapeutic targets including RBX1, HSPA5, ITCH, RAB7A, RAB5A, RAB8A, PSMC5, CAPZB, CANX, IGF2R, HSPA1A, which are central and also associated with multiple diseases