2010
DOI: 10.1007/s12177-011-9060-z
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Comparative modeling of retinol-binding protein-3 and retinal S-antigen in Eales’ disease and prediction of their binding sites using computational methods

Abstract: Retinal S-antigen and interphotoreceptor retinoidbinding protein-3 play a significant role in the etiopathogenesis of Eales' disease. Protein 3D structures are functionally very important and play a significant role in progression of the disease, hence these 3D structures are better target for further drug designing and relative studies. We developed 3D model structure of retinol-binding protein-3 and retinal S-antigen protein of human involved in Eales' disease. Functional site prediction is a very important … Show more

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Cited by 8 publications
(4 citation statements)
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“…Three-dimensional (3D) protein structures are functionally very important and play a significant role in the progression of the disease; hence, these 3D structures are a better target for further drug designing and relative studies [24]. …”
Section: Reviewmentioning
confidence: 99%
“…Three-dimensional (3D) protein structures are functionally very important and play a significant role in the progression of the disease; hence, these 3D structures are a better target for further drug designing and relative studies [24]. …”
Section: Reviewmentioning
confidence: 99%
“…3D structure of interphotoreceptor retinol-binding protein 3 had already been predicted in previous course of work [8].…”
Section: Docking Studiesmentioning
confidence: 64%
“…IRBP-3 transports retinoids between the retinal pigment epithelium and the photoreceptors, a critical role in the visual process [5][6][7][8]. Thus, after analyzing the significant role of this selected protein, 3D protein model structures of this protein were generated through comparative modeling approaches.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the binding affinities of predicted multi-target phytochemicals with CD163-SRCR5, Nsp4, and Nsp10 were validated by MM-PBSA binding energy calculations. This is a popular method for predicting binding free energy since it is more accurate than most scoring functions used in MD and is commonly employed in biomolecular research, including protein-ligand interactions ( 61 65 ). The results of MM-PBSA calculations showed that the predicted multi-target phytochemicals had strong affinity with target proteins.…”
Section: Discussionmentioning
confidence: 99%