The unequivocal preponderance of biocomputation in clinical virology

被引：3

作者：

Chun, Sechul ^{[1
]}

Muthu, Manikandan ^{[1
]}

Gopal, Judy ^{[1
]}

Paul, Diby ^{[2
]}

Kim, Doo Hwan ^{[1
]}

Gansukh, Enkhtaivan ^{[1
]}

Anthonydhason, Vimala ^{[3
]}

机构：

[1] Konkuk Univ, Dept Environm Hlth Sci, Seoul 143701, South Korea

[2] Konkuk Univ, Dept Environm Engn, Environm Microbiol, Seoul 143701, South Korea

[3] Indian Inst Technol Madras, Dept Biotechnol, Madras 600036, Tamil Nadu, India

来源：

RSC ADVANCES | 2018年 / 8卷 / 31期

关键词：

IN-SILICO APPROACH; ANTIBACTERIAL ACTIVITY; HEPATITIS-B; PREDICTION; DATABASE; BINDING; IDENTIFICATION; BIOINFORMATICS; DIAGNOSIS; VACCINE;

D O I：

10.1039/c8ra00888d

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

Bioinformatics and computer based data simulation and modeling are captivating biological research, delivering great results already and promising to deliver more. As biological research is a complex, intricate, diverse field, any available support is gladly taken. With recent outbreaks and epidemics, pathogens are a constant threat to the global economy and security. Virus related plagues are somehow the most difficult to handle. Biocomputation has provided appreciable help in resolving clinical virology related issues. This review, for the first time, surveys the current status of the role of computation in virus related research. Advances made in the fields of clinical virology, antiviral drug design, viral immunology and viral oncology, through input from biocomputation, have been discussed. The amount of progress made and the software platforms available are consolidated in this review. The limitations of computation based methods are presented. Finally, the challenges facing the future of biocomputation in clinical virology are speculated upon.

引用

页码：17334 / 17345

页数：12

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