An In-Silico Survey On The Structure And Function Of The BCAN, As Opening Therapeutic And Diagnostic Approaches ForNeuronal Malignancies

Alterations in the structural and functional characteristics of the cells are critical biomarkers ofmalignancy. Bearing in mind, the accurate characterization of these markers would be providingnovel therapeutic and diagnostic solutions for these types of diseases. In this regard, in-silicoanalyses of the BCAN, a cell surface specific antigen of neural malignancies, were considered in thisstudy. For this aim, protein sequence of this antigen, with accession number AAH27971, wereretrieved from protein databank of the NCBI. PROTEIN ATLAS databank were used for in-silicoexpression assays. Detection the corresponding ligands of the antigen were evaluated by STRINGprogram. Structural modeling and quality assessment of the models were carried out by MODELLERand MOE programs, respectively. Moreover, topology features of the antigen were determined byHMMTOP program. All data were expressed as mean_standard deviation with SPSS 21.0 (SPSS Inc.,Chicago, IL, USA). The results of this analysis led to reveal that the BCAN, with 911 amino in thelength, has three transmembrane regions. On the other hand, the overexpression of this antigen, inaddition to glioma, apparent in the melanoma and lymphoma using CAB025862 and HPA007865monoclonal antibodies. Furthermore, in addition to the above monoclonal antibodies, the bindingaffinity of the antigen to the TNR, as new ligand, was appeared. In general, the results of this studyled to provide the 3D structure of the BCAN and its topology on the cell membrane. Meanwhile, theoverexpression of the BCAN appeared as suitable biomarker for glioma, melanoma and lymphoma.Furthermore, this analysis provides a new corresponding ligand of BCAN, which could be used forimmunotoxins development