Bioinformatics analysis of diabetic retinopathy using functional protein sequences
| Autor: | Annapurna Akula, Siva Reddy Challa, C. H. Divakar, K. Srinivas, Ramachandra Sridhar Gumpeny, Siva Prasad Akula, Tejaswi Ravavarapu, Undurti N. Das, Suresh Babu Changalasetty, Allam Appa Rao, Hanuman Thota |
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| Rok vydání: | 2007 |
| Předmět: |
medicine.medical_specialty
Pharmacology chemistry.chemical_compound Glycation Aldehyde Reductase Internal medicine Diabetes mellitus medicine Humans Aldose reductase Multiple sequence alignment Diabetic Retinopathy biology business.industry Cell adhesion molecule Computational Biology General Medicine Diabetic retinopathy medicine.disease Nitric oxide synthase Vascular endothelial growth factor Endocrinology chemistry biology.protein Nitric Oxide Synthase business |
| Zdroj: | Medical hypotheses. 70(1) |
| ISSN: | 0306-9877 |
| Popis: | Diabetic retinopathy is the leading cause of blindness among patients with diabetes mellitus. We evaluated the role of several proteins that are likely to be involved in diabetic retinopathy by employing multiple sequence alignment using ClustalW tool and constructed a phylogram tree using functional protein sequences extracted from NCBI. Phylogram was constructed using Neighbor-Joining Algorithm in bioinformatics approach. It was observed that aldose reductase and nitric oxide synthase are closely associated with diabetic retinopathy. It is likely that vascular endothelial growth factor, pro-inflammatory cytokines, advanced glycation end products, and adhesion molecules that also play a role in diabetic retinopathy may do so by modulating the activities of aldose reductase and nitric oxide synthase. These results imply that methods designed to normalize aldose reductase and nitric oxide synthase activities could be of significant benefit in the prevention and treatment of diabetic retinopathy. |
| Databáze: | OpenAIRE |
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