Analysis of protein determinants of host-specific infection properties of polyomaviruses using machine learning.

Journal: Genes & genomics

PMID: 33646531

Abstract

BACKGROUND: The large tumor antigen (LT-Ag) and major capsid protein VP1 are known to play important roles in determining the host-specific infection properties of polyomaviruses (PyVs).

Authors

Myeongji Cho

Laboratory of Computational Virology & Viroinformatics, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Korea.
Hayeon Kim

Department of Biomedical Laboratory Science, Kyungdong University, 815 Gyeonhwon-ro, Munmak, Wonju, Gangwondo, 24695, Korea.
Hyeon S Son

Laboratory of Computational Virology & Viroinformatics, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Korea. hss2003@snu.ac.kr.

Keywords

Amino Acids Antigens, Polyomavirus Transforming Capsid Proteins Host Specificity Machine Learning Phylogeny Polyomavirus

External Resources

View on PubMed Access via DOI PubMed (33646531)

Analysis of protein determinants of host-specific infection properties of polyomaviruses using machine learning.

Abstract

Authors

Keywords

External Resources

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