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hpvPDB: An Online Proteome Reserve for Human Papillomavirus
Genomics & Informatics ; : 289-291, 2013.
Article in English | WPRIM | ID: wpr-84014
ABSTRACT
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.
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Full text: Available Index: WPRIM (Western Pacific) Main subject: Virology / Vaccines / DNA Probes / Drug Design / Residence Characteristics / Statistics as Topic / Mortality / Genome / Sequence Analysis / Proteome Type of study: Prognostic study Limits: Female / Humans Language: English Journal: Genomics & Informatics Year: 2013 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Virology / Vaccines / DNA Probes / Drug Design / Residence Characteristics / Statistics as Topic / Mortality / Genome / Sequence Analysis / Proteome Type of study: Prognostic study Limits: Female / Humans Language: English Journal: Genomics & Informatics Year: 2013 Type: Article