| Journal Title /掲載ジャーナル名 |
Computational and Structural Biotechnology Journal |
| Publication Year and Month /掲載年月 |
February, 2023 |
| Paper Title /論文タイトル |
Bioinfomatics approaches for unveilling virus-host interactions |
| DOI /論文DOI |
10.1016/j.csbj.2023.02.044 |
| Author of Waseda University /本学の著者 |
HAMADA, Michiaki(Professor, Faculty of Science and Engineering, School of Advanced Science and Engineering):Corresponding Author, Last Author |
| Related Websites /関連Web |
– |
| Abstract /抄録 |
The coronavirus disease-2019 (COVID-19) pandemic has elucidated major limitations in the capacity of medical and research institutions to appropriately manage emerging infectious diseases. We can improve our understanding of infectious diseases by unveiling virus–host interactions through host range prediction and protein–protein interaction prediction. Although many algorithms have been developed to predict virus–host interactions, numerous issues remain to be solved, and the entire network remains veiled. In this review, we comprehensively surveyed algorithms used to predict virus–host interactions. We also discuss the current challenges, such as dataset biases toward highly pathogenic viruses, and the potential solutions. The complete prediction of virus–host interactions remains difficult; however, bioinformatics can contribute to progress in research on infectious diseases and human health. |
