International Journal of Biotechnology and Bioengineering Research. ISSN 2231-1238 Volume 4, Number 1 (2013) pp. 63-72 © Research India Publications http://www.ripublication.com/ijbbr.htm In-silico structural analysis and Protein disorder prediction: Implications for structural proteomics of human papilloma virus type-16 E7 Protein Upasna Srivastava*, Gurmit Singh and George Thomas Department of Computational Biology & Bioinformatics*, Department of Computer Science & Information Technology, Jacob School of Biotechnology and Bioengineering, SHIATS, Allahabad - 211007, India. *Corresponding Author: Upasna Srivastava(PhD-Research Scholar) Department of Computational Biology & Bioinformatics, Sam Higginbottom Institute of Agriculture, Technology & Sciences Deemed to be University, Allahabad - 211007, India. Email:princy149@rediffmail.com ABSTRACT The aim of In-silico structural analysis and Protein disorder prediction for HPV type 16 E7 virus proteins is to solve the problem of designing vaccine against cervical cancer. The simultaneous structural analysis of E7 proteins out of 50 different HPV strains was carried out for prediction and validation, by using different bioinformatics tools such as CPH Model,TMHMM Server,DisEMBL and GlobPlot. In this CPH Model gives the template recognition, which is based on profile-profile alignment and it also create a model for HPV type 16 E7 protein sequence. The TMHMM Server gives prediction of transmembrane helices and discriminate between soluble and membrane proteins with high degree of accuracy show as graphical form. DisEMBL gives prediction of disordered/unstructured regions within a protein sequence of HPV 16 E7 protein andGlobPlot also predict theorder/globularity and disordered domain for protein sequence. Keywords: Human papillomavirus, E6 and E7 oncoproteins, CPH MODEL, TMHMM Server, Glob-plot, DisEMBL, Disordered prediction definition, loop-coils, hot loops.