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The unequivocal preponderance of biocomputation in clinical virology
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 epidemic...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9080393/ https://www.ncbi.nlm.nih.gov/pubmed/35539262 http://dx.doi.org/10.1039/c8ra00888d |
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author | Chun, Sechul Muthu, Manikandan Gopal, Judy Paul, Diby Kim, Doo Hwan Gansukh, Enkhtaivan Anthonydhason, Vimala |
author_facet | Chun, Sechul Muthu, Manikandan Gopal, Judy Paul, Diby Kim, Doo Hwan Gansukh, Enkhtaivan Anthonydhason, Vimala |
author_sort | Chun, Sechul |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9080393 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | The Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-90803932022-05-09 The unequivocal preponderance of biocomputation in clinical virology Chun, Sechul Muthu, Manikandan Gopal, Judy Paul, Diby Kim, Doo Hwan Gansukh, Enkhtaivan Anthonydhason, Vimala RSC Adv Chemistry 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. The Royal Society of Chemistry 2018-05-18 /pmc/articles/PMC9080393/ /pubmed/35539262 http://dx.doi.org/10.1039/c8ra00888d Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/ |
spellingShingle | Chemistry Chun, Sechul Muthu, Manikandan Gopal, Judy Paul, Diby Kim, Doo Hwan Gansukh, Enkhtaivan Anthonydhason, Vimala The unequivocal preponderance of biocomputation in clinical virology |
title | The unequivocal preponderance of biocomputation in clinical virology |
title_full | The unequivocal preponderance of biocomputation in clinical virology |
title_fullStr | The unequivocal preponderance of biocomputation in clinical virology |
title_full_unstemmed | The unequivocal preponderance of biocomputation in clinical virology |
title_short | The unequivocal preponderance of biocomputation in clinical virology |
title_sort | unequivocal preponderance of biocomputation in clinical virology |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9080393/ https://www.ncbi.nlm.nih.gov/pubmed/35539262 http://dx.doi.org/10.1039/c8ra00888d |
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