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hpvPDB:人乳头瘤病毒的在线蛋白质组库

hpvPDB: An Online Proteome Reserve for Human Papillomavirus.

作者信息

Kumar Satish, Jena Lingaraja, Daf Sangeeta, Mohod Kanchan, Goyal Peyush, Varma Ashok K

机构信息

Bioinformatics Centre and Biochemistry, Mahatma Gandhi Institute of Medical Sciences, Sevagram 442-102, India.

Datta Meghe Institute of Medical Sciences (Deemed University), Nagpur 440-022, India.

出版信息

Genomics Inform. 2013 Dec;11(4):289-91. doi: 10.5808/GI.2013.11.4.289. Epub 2013 Dec 31.

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.

摘要

人乳头瘤病毒(HPV)感染是全球女性癌症死亡的主要原因。对HPV蛋白的分子理解对于了解它们在宿主中的侵入以及设计新型蛋白疫苗和抗病毒药物等具有重要意义。关于HPV的基因组、蛋白质组、结构和疾病相关信息可在网上获取;然而,注释较少,更重要的是,它没有针对数据分析、宿主-病原体相互作用、菌株-疾病关联、药物设计和序列分析等进行良好定制。我们试图为有相同需求的最终用户设计一个包含HPV全面信息的在线资源库。人乳头瘤病毒蛋白质组数据库(hpvPDB)存储了迄今为止已测序的150种HPV菌株的蛋白质组和基因组信息。其重要特点包括能够同时轻松扩展和检索特定菌株数据,具备序列分析功能以及对预测结构的探索潜力,并且可以通过一个平台上的一系列搜索选项方便地进行管理和注释。这个资源库中的丰富信息可能对从事结构病毒学、癌症研究、药物发现和疫苗设计的研究人员有所帮助。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0656/3897859/25bfa0f13689/gni-11-289-g001.jpg

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