Abstract
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.
Highlights
Viral outbreaks are pandemic and mostly transmitted via oral and nasal passages, the gastrointestinal tract, the skin and the urogenital tract/vagina
The outbreak of Zika virus was evidenced by a rapid increase in cases among pregnant women, whose infants are born with extremely underdeveloped brains and will grow up to be adults aDepartment of Environmental Health Science, Konkuk University, Seoul 143-701, Korea bEnvironmental Microbiology, Department of Environmental Engineering, Konkuk University, Seoul 143-701, Korea cDepartment of Biotechnology, Indian Institute of Technology-Madras, Chennai 600036, India
With morbidity and mortality rates being signi cantly high with respect to virus related infections, clinical virology is at the forefront of research highlights
Summary
With morbidity and mortality rates being signi cantly high with respect to virus related infections, clinical virology is at the forefront of research highlights. The effective prevention and clinical management of infectious diseases are intimately linked to the early and accurate screening of pathogens This includes detecting the infectious particles in the organism and elucidating the aspects that confer resistance to therapy, mutations and genotype disparity. Biocomputational tools and database resources provide a wealth of valuable information about viral genomic sequences, molecular structures and viral–host pathogenesis This information on infectious agents can lead to better diagnostics, therapeutics and vaccine development. The challenges facing the future of biocomputation in clinical virology are speculated upon
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