Bioinformatics approach to understand the mode of microbial pathogenesis of Chlamydia trachomatis and their implications in gynecologic malignancy.
Research Field: Gynecology/Clinical Medicine
Chlamydia trachomatis has a say on the target gene i.e., modulating the expression of target gene in the host so that it is given protection from the immune cells and so its survival and replication are not arrested by the host.
Various bioinformatics tools was used to conduct an in-depth analysis on nuclear and eukaryotic sub cellular localization signal to find the sequences of the predicted proteins of C. trachomatisstrain G. A total of 411 proteins was identified with 79.54% maximum expected accuracy and 51.02% least expected accuracy.
There were uneven prediction of proteins along with redundancies between BaCeILo and HSLpred in the determination of sub-cellular localization of the CT proteins. The highest molecular weight proteins (>80 kDa) were observed to be the targeted proteins to nucleus of host cell. There was no constant patterns observed in the values of isoelectric point (pI) in case of mitochondrial targeting. The expression of eight proteins were significant with different fold changes. The in-silico study provided much detailed insights for further research in gynecological cancer.