Bioinformatics Analysis of the Ribosomal Proteins, RPL27, RPL37a and RPL41: 3-D Protein Modeling and Protein-protein Interaction Prediction
Ribosomal proteins (RPs) are constituents of ribosome important for protein biosynthesis but likely to have extraribosomal functions. Many RPs are associated with various diseases and cancers. A previous study reported RPL27, RPL37a and RPL41 gene to be downregulated in nasopharyngeal carcinoma (NPC...
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| Format: | Article |
| Language: | English |
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International Journal of Bioscience, Biochemistry and Bioinformatics
2013
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| Online Access: | http://ir.unimas.my/id/eprint/91/ http://ir.unimas.my/id/eprint/91/1/Bioinformatics%20analysis%20of%20the%20ribosomal%20protiens%20%28abstract%29.pdf |
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| author | Chan, Stella Li Li Sim, Edmund U. H. |
| author_facet | Chan, Stella Li Li Sim, Edmund U. H. |
| author_sort | Chan, Stella Li Li |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | Ribosomal proteins (RPs) are constituents of ribosome important for protein biosynthesis but likely to have extraribosomal functions. Many RPs are associated with various diseases and cancers. A previous study reported RPL27, RPL37a and RPL41 gene to be downregulated in nasopharyngeal carcinoma (NPC) derived cell lines compared to their normal counterpart. However, their actual physiological roles in organogenesis or tumorigenesis have not been properly defined. In this paper, we report on the findings of structural prediction of these three genes and infer their interactions with other proteins using structural neighbor prediction and molecular docking strategies. Our results revealed that RPL27 interact with SYNJ2 and UBC9. RPL27 is predicted to mediate RNA binding protein and deregulate sumolyation. RPL37a is suggested to interact with CTNNB1, SCMH1 and ATBF1. It is predicted to deregulate Wnt degradation pathway, inhibit β-catenin migration and regulate homeotic transcription. Our studies on RPL41 did not allow logical inference on possible interacting factors. Nevertheless, results on RPL27 and RPL37a provide rational data for the elucidation of their molecular activities. |
| first_indexed | 2025-11-15T05:52:43Z |
| format | Article |
| id | unimas-91 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T05:52:43Z |
| publishDate | 2013 |
| publisher | International Journal of Bioscience, Biochemistry and Bioinformatics |
| recordtype | eprints |
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| spelling | unimas-912016-12-28T07:30:56Z http://ir.unimas.my/id/eprint/91/ Bioinformatics Analysis of the Ribosomal Proteins, RPL27, RPL37a and RPL41: 3-D Protein Modeling and Protein-protein Interaction Prediction Chan, Stella Li Li Sim, Edmund U. H. QR Microbiology Ribosomal proteins (RPs) are constituents of ribosome important for protein biosynthesis but likely to have extraribosomal functions. Many RPs are associated with various diseases and cancers. A previous study reported RPL27, RPL37a and RPL41 gene to be downregulated in nasopharyngeal carcinoma (NPC) derived cell lines compared to their normal counterpart. However, their actual physiological roles in organogenesis or tumorigenesis have not been properly defined. In this paper, we report on the findings of structural prediction of these three genes and infer their interactions with other proteins using structural neighbor prediction and molecular docking strategies. Our results revealed that RPL27 interact with SYNJ2 and UBC9. RPL27 is predicted to mediate RNA binding protein and deregulate sumolyation. RPL37a is suggested to interact with CTNNB1, SCMH1 and ATBF1. It is predicted to deregulate Wnt degradation pathway, inhibit β-catenin migration and regulate homeotic transcription. Our studies on RPL41 did not allow logical inference on possible interacting factors. Nevertheless, results on RPL27 and RPL37a provide rational data for the elucidation of their molecular activities. International Journal of Bioscience, Biochemistry and Bioinformatics 2013-01 Article PeerReviewed text en http://ir.unimas.my/id/eprint/91/1/Bioinformatics%20analysis%20of%20the%20ribosomal%20protiens%20%28abstract%29.pdf Chan, Stella Li Li and Sim, Edmund U. H. (2013) Bioinformatics Analysis of the Ribosomal Proteins, RPL27, RPL37a and RPL41: 3-D Protein Modeling and Protein-protein Interaction Prediction. International Journal of Bioscience, Biochemistry and Bioinformatics, 3 (1). pp. 10-15. https://doaj.org/article/87c54f8295cf408c840664faca042460 DOI:10.7763/IJBBB.2013.V3.154 |
| spellingShingle | QR Microbiology Chan, Stella Li Li Sim, Edmund U. H. Bioinformatics Analysis of the Ribosomal Proteins, RPL27, RPL37a and RPL41: 3-D Protein Modeling and Protein-protein Interaction Prediction |
| title | Bioinformatics Analysis of the Ribosomal Proteins, RPL27, RPL37a and RPL41: 3-D Protein Modeling and Protein-protein Interaction Prediction |
| title_full | Bioinformatics Analysis of the Ribosomal Proteins, RPL27, RPL37a and RPL41: 3-D Protein Modeling and Protein-protein Interaction Prediction |
| title_fullStr | Bioinformatics Analysis of the Ribosomal Proteins, RPL27, RPL37a and RPL41: 3-D Protein Modeling and Protein-protein Interaction Prediction |
| title_full_unstemmed | Bioinformatics Analysis of the Ribosomal Proteins, RPL27, RPL37a and RPL41: 3-D Protein Modeling and Protein-protein Interaction Prediction |
| title_short | Bioinformatics Analysis of the Ribosomal Proteins, RPL27, RPL37a and RPL41: 3-D Protein Modeling and Protein-protein Interaction Prediction |
| title_sort | bioinformatics analysis of the ribosomal proteins, rpl27, rpl37a and rpl41: 3-d protein modeling and protein-protein interaction prediction |
| topic | QR Microbiology |
| url | http://ir.unimas.my/id/eprint/91/ http://ir.unimas.my/id/eprint/91/ http://ir.unimas.my/id/eprint/91/ http://ir.unimas.my/id/eprint/91/1/Bioinformatics%20analysis%20of%20the%20ribosomal%20protiens%20%28abstract%29.pdf |