hpvPDB: An Online Proteome Reserve for Human Papillomavirus.
Human papillomavirus (HPV) infection is the leading cause of cancer mortality among women worldwide. The molecular understanding of HPV proteins has significant connotation for understanding their intrusion in the host and designing novel protein vaccines and anti-viral agents, etc. Genomic, proteomic, structural, and disease-related information on HPV is available on the web; yet, with trivial annotations and more so, it is not well customized for data analysis, host-pathogen interaction, strain-disease association, drug designing, and sequence analysis, etc. We attempted to design an online reserve with comprehensive information on HPV for the end users desiring the same. The Human Papillomavirus Proteome Database (hpvPDB) domiciles proteomic and genomic information on 150 HPV strains sequenced to date. Simultaneous easy expandability and retrieval of the strain-specific data, with a provision for sequence analysis and exploration potential of predicted structures, and easy access for curation and annotation through a range of search options at one platform are a few of its important features. Affluent information in this reserve could be of help for researchers involved in structural virology, cancer research, drug discovery, and vaccine design.
Bioinformatics Centre and Biochemistry, Mahatma Gandhi Institute of Medical Sciences, Sevagram 442-102, India.
Satish
S
Kumar
Bioinformatics Centre and Biochemistry, Mahatma Gandhi Institute of Medical Sciences, Sevagram 442-102, India.
Lingaraja
L
Jena
Datta Meghe Institute of Medical Sciences (Deemed University), Nagpur 440-022, India.
Sangeeta
S
Daf
Bioinformatics Centre and Biochemistry, Mahatma Gandhi Institute of Medical Sciences, Sevagram 442-102, India.
Kanchan
K
Mohod
Department of Biotechnology, Ministry of Science and Technology, New Delhi 110-003, India.
Peyush
P
Goyal
Advanced Centre for Treatment, Research and Education in Cancer, Khargar 410-210, India.
Ashok K
AK
Varma
DNA probes; HPV; comparative modeling; genome; neoplasms; proteome