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HPVMD-C: a disease-based mutation database of human papillomavirus in China.

Zhenyu YangWenjing YiJin TaoXiaoqing LiuMichael Q ZhangGuiqian ChenDai Qi
Published in: Database : the journal of biological databases and curation (2022)
Human papillomavirus (HPV) can cause condyloma acuminatum and cervical cancer. Some mutations of these viruses are closely related to the persistent infection of cervical cancer and are ideal cancer vaccine targets. Several databases have been developed to collect HPV sequences, but no HPV mutation database has been published. This paper reports a Chinese HPV mutation database (HPVMD-C), which contains 149 HPV genotypes, 468 HPV mutations, 3409 protein sequences, 4727 domains and 236 epitopes. We analyzed the mutation distribution among HPV genotypes, domains and epitopes. We designed a visualization tool to display these mutations, domains and epitopes and provided more detailed information about the disease, region and related literature. We also proposed an HPV genotype prediction tool, which can predict HPV carcinogenic or non-carcinogenic risk genotypes. We expect that HPVMD-C will complement the existing database and provide valuable resources for HPV vaccine research and cervical cancer treatment. HPVMD-C is freely available at Database URL: http://bioinfo.zstu.edu.cn/hpv.
Keyphrases
  • high grade
  • cervical cancer screening
  • systematic review
  • randomized controlled trial
  • healthcare
  • machine learning
  • social media
  • deep learning
  • squamous cell