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
收藏
页码：17334 / 17345
页数：12
相关论文
共 115 条
[101]  
Siuzdak G, 1998, J MASS SPECTROM, V33, P203, DOI 10.1002/(SICI)1096-9888(199803)33:3<203::AID-JMS653>3.0.CO
[102]  
2-Q
[103]   De novo computational design of compounds virtually displaying potent antibacterial activity and desirable in vitro ADMET profiles [J].
Speck-Planche, Alejandro ;
Cordeiro, M. Natalia D. S. .
MEDICINAL CHEMISTRY RESEARCH, 2017, 26 (10) :2345-2356
[104]   Speeding up Early Drug Discovery in Antiviral Research: A Fragment Based in Silico Approach for the Design of Virtual Anti-Hepatitis C Leads [J].
Speck-Planche, Alejandro ;
Natalia Dias Soeiro Cordeiro, M. .
ACS COMBINATORIAL SCIENCE, 2017, 19 (08) :501-512
[105]   Simultaneous Virtual Prediction of Anti-Escherichia coli Activities and ADMET Profiles: A Chemoinformatic Complementary Approach for High-Throughput Screening [J].
Speck-Planche, Alejandro ;
Cordeiro, M. N. D. S. .
ACS COMBINATORIAL SCIENCE, 2014, 16 (02) :78-84
[106]  
Taherkhani R, 2015, PATHOGEN INFECT DIS, V1, pe933, DOI [10.14800/pid.933, DOI 10.14800/PID.933]
[107]   CancerHSP: anticancer herbs database of systems pharmacology [J].
Tao, Weiyang ;
Li, Bohui ;
Gao, Shuo ;
Bai, Yaofei ;
Shar, Piar Ali ;
Zhang, Wenjuan ;
Guo, Zihu ;
Sun, Ke ;
Fu, Yingxue ;
Huang, Chao ;
Zheng, Chunli ;
Mu, Jiexin ;
Pei, Tianli ;
Wang, Yuan ;
Li, Yan ;
Wang, Yonghua .
SCIENTIFIC REPORTS, 2015, 5
[108]  
Theodora K., 2016, COMPUT STRUCT BIOTEC, V14, P177
[109]  
THOMAS K, 2006, KUBY IMMUNOLOGY
[110]   CancerPPD: a database of anticancer peptides and proteins [J].
Tyagi, Atul ;
Tuknait, Abhishek ;
Anand, Priya ;
Gupta, Sudheer ;
Sharma, Minakshi ;
Mathur, Deepika ;
Joshi, Anshika ;
Singh, Sandeep ;
Gautam, Ankur ;
Raghava, Gajendra P. S. .
NUCLEIC ACIDS RESEARCH, 2015, 43 (D1) :D837-D843
3456789101112