Computational Analysis and Functional Prediction of Ubiquitin Hypothetical Protein: A Possible Target in Parkinson Disease

Author(s): Laline Barragan-Osorio , Gustavo Giraldo , Carlos J. Almeciga-Diaz , Gjumrakch Aliev , George E. Barreto , Janneth Gonzalez .

Journal Name: Central Nervous System Agents in Medicinal Chemistry

Volume 16 , Issue 1 , 2016

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Abstract:

Parkinson´s disease (PD) is a high prevalent progressive neurodegenerative disorder characterized by degeneration of dopaminergic neurons and intracytoplasmatic aggregation of α-synuclein called Lewy Bodies. Anomalies in the proteasomal and endosomal ubiquitin related degradation of α-synuclein have been related with PD. Among the different proteins described in ubiquitin pathway, the hypothetical protein CAB55973.1 was identified previously. Here we modeled this hypothetical protein in order to contribute to the understanding of PD pathogenesis that should be served as an input in the future as drug targets. This study predicted a three-dimensional model of the complete sequence of hypothetical protein CAB55973.1 with a high value of identity and a good homology quality. Subcellular localization was found in the cytoplasm, mainly in the endosomal membrane. 36 protein-protein interactions related to PD were found. 11 residues were predicted to interact with target proteins for ubiquitination. Binding site prediction showed that one domain (residues 163 to 238) might be involved in ubiquitination of target proteins. In this ubiquitin domain, residues were distributed similarly to those of the binding site of the ubiquitin interacting with the UIM of Hrs protein (PDB 2D3G). The hypothetical protein was constructed based on the complete sequence alignment, which allowed predicting the structure with a high accuracy. The functional prediction showed that only one domain of the hypothetical protein might be involved in the α- synuclein ubiquitination of the endosomal pathway of the PD.

Keywords: Parkinson disease, hypothetical protein, ubiquitin, in-silico, homology mathematical modeling.

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Article Details

VOLUME: 16
ISSUE: 1
Year: 2016
Page: [4 - 11]
Pages: 8
DOI: 10.2174/1871524915666150722120605

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