Chun Sechul, Muthu Manikandan, Gopal Judy, Paul Diby, Kim Doo Hwan, Gansukh Enkhtaivan, Anthonydhason Vimala
Department of Environmental Health Science, Konkuk University Seoul 143-701 Korea.
Environmental Microbiology, Department of Environmental Engineering, Konkuk University Seoul 143-701 Korea.
RSC Adv. 2018 May 18;8(31):17334-17345. doi: 10.1039/c8ra00888d. eCollection 2018 May 9.
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.
生物信息学以及基于计算机的数据模拟和建模正在吸引着生物学研究,已经取得了丰硕的成果,并且有望取得更多成果。由于生物学研究是一个复杂、精细、多样的领域,任何可用的支持都备受欢迎。随着近期的疫情爆发,病原体一直对全球经济和安全构成威胁。与病毒相关的瘟疫在某种程度上是最难应对的。生物计算在解决临床病毒学相关问题方面提供了可观的帮助。本综述首次全面审视了计算在病毒相关研究中的作用现状。通过生物计算的投入,在临床病毒学、抗病毒药物设计、病毒免疫学和病毒肿瘤学等领域所取得的进展进行了讨论。本综述汇总了已取得的进展以及可用的软件平台。同时也阐述了基于计算方法的局限性。最后,对临床病毒学中生物计算未来所面临的挑战进行了推测。