Objective: To predict the tertiary structure of human interferon alpha/beta receptor 2 protein. Study Design: Structure prediction by using bio informatics tools. Place and Duration of Study: Department of Biochemistry, Swat Medical College (STMC), Saidu Shareef, Swat, Pakistan, from Aug 2019 to Dec 2019. Methodology: All protein sequences of human interferon alpha/beta receptor 2 (isoforma, b and c) (IFNAR-2) were retrieved through the BLAST search (The Basic Local Alignment Search Tool) from available databases ‘NCBI’ (National Centre for Biotechnology Information) and ‘Uni Prot KB’ (The Universal Protein Resource). Sequence alignment was conducted by using Clustal Omega, to get the consensus sequence for IFNAR-2 protein. Consensus protein sequence of human IFNAR-2 was used for the prediction of the three-dimensional structure by employing Swiss-Model Server. Moreover, subcellular localization analysis was also performed by using CELLO2GO program. Results: Structural model of human IFNAR-2 protein was predicted and evaluated by Ramachandran dimension. Cellular localization of tertiary topological domains of the predicted models were revealed probability of localization of IFNAR-2 protein (isoform a, b & c) is highest in the plasma membrane due to the presence of the transmembrane alpha helical regions. Conclusion: This study predicted the tertiary structural dimensions of human IFNAR-2 protein, including the specific topological domains that contribute towards the subcellular compartmentalization and functional characteristics.
Background: Wnt signaling pathway is a complex network involving important molecular and functional interaction molecules. It has a key role in the wound healing process. Aim: To identify the molecular interactions of FZD10 in Wnt signalling pathway in wound healing. Study Design: Computation based in silico study Place and Duration of Study: Department of Biochemistry, Swat Medical College (STMC), Saidu Shareef, Swat, Pakistan from 1st March 2021 to 31st August 2021. Methodology: We applied Search Tool for the Retrieval of Interacting Gene/Proteins (STRING) analysis, using specific parameters including (1) Textmining (2) Experiments (3) Databases (4) Co-expression (5) Neighbourhood (6) Gene fusion and (7) Co-occurrence for the identification of molecular interactions of the Wnt signaling pathway. The maximum number of interactors was set at 20 and highest confidence level at 0.900. Results: STRING network analysis revealed that Frizzled Homologue 10 (FZD10) protein interacts with Hypoxia- Inducible Lipid Droplet-Associated Protein(HILPDA), Wnt1,Wnt3A, Wnt5A,Wnt7A,Wnt7B, Wnt16, Low-density lipoprotein receptor-related protein 5 (LRP5), LRP6, and Dishevelled Segment Polarity Protein 1 (DVL1) proteins in Wnt signaling pathway and contributes in various cellular activities, including cell proliferation, cellular migration, differentiation, apoptosis and stem cell regeneration, which are crucial for the wound healing process. Conclusion: Functional enrichment analysis revealed that FZD10 protein is a key player in Wnt signaling pathway and has the potential to be considered as a candidate molecule for the therapeutics of wound healing process in future. Keywords: Wnt Signaling pathway, STRING, molecular interactions, Frizzled-10, Cell proliferation, Cell migration
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