Bioinformatics’ Study of the Protein Association Network of Schizophrenia
| Author | Raziyeh Nasab Najjar | en |
| Author | Fatemeh Bossagh Zadeh | en |
| Author | Zahra Khoshnood | en |
| Orcid | Raziyeh Nasab Najjar [0009-0009-9616-0319] | en |
| Orcid | Fatemeh Bossagh Zadeh [0000-0002-9406-7251] | en |
| Orcid | Zahra Khoshnood [0000-0001-6340-6997] | en |
| Issued Date | 2025-10-31 | en |
| Abstract | Background: Schizophrenia is a complex psychiatric disorder influenced by genetic, environmental, and neurobiological factors. Objectives: This bioinformatics research aimed to clarify the protein communication network underlying schizophrenia by analyzing protein-protein interactions (PPIs) related to known risk factors and candidate genes. Methods: In this analytical study, data for network construction were obtained from publicly available databases, including NCBI, GeneCards, SWISS-PROT, and DisGeNET. Specifically, genes previously reported to be involved in schizophrenia based on at least one of in vivo, in vitro, or in silico studies were extracted and considered as candidate genes. No new biological samples were collected; secondary data from prior studies of schizophrenic patients and healthy individuals were used to compile the candidate gene list. The communication network of these genes was constructed using MATLAB software, and structural parameters of the networks were calculated and compared. All statistical analyses were performed using R and MATLAB. Results: Based on the network analysis of candidate proteins in schizophrenia, and according to parameters such as neighborhood component, degree, distance, proximity, and radius, the disrupted in schizophrenia 1 (DISC1), LOC102724788, catechol-O-methyltransferase (COMT), proline dehydrogenase 1 (PRODH), and zinc finger DHHC-type palmitoyltransferase 8 (ZDHHC8) proteins showed the highest repetition and confirmation rates. Conclusions: This study clarified the protein communication network underlying schizophrenia by identifying key candidate proteins with high connectivity and centrality within the network. These results provide valuable insights into the molecular interactions involved in schizophrenia and highlight potential targets for future diagnostic and therapeutic strategies. | en |
| DOI | https://doi.org/10.5812/zjrms-162029 | en |
| Keyword | Schizophrenia | en |
| Keyword | PPIs | en |
| Keyword | DISC1 | en |
| Publisher | Brieflands | en |
| Title | Bioinformatics’ Study of the Protein Association Network of Schizophrenia | en |
| Type | Research Article | en |
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