Applying the digital data and the bioinformatics tools in SARS-CoV-2 research

被引:2
|
作者
Tan, Meng [1 ]
Xia, Jiaxin [1 ]
Luo, Haitao [1 ]
Meng, Geng [2 ,3 ]
Zhu, Zhenglin [1 ,4 ]
机构
[1] Chongqing Univ, Sch Life Sci, Chongqing, Peoples R China
[2] China Agr Univ, Coll Vet Med, Beijing, Peoples R China
[3] China Agr Univ, Coll Vet Med, Beijing 100094, Peoples R China
[4] Chongqing Univ, Sch Life Sci, 55 Daxuecheng South Rd, Chongqing 401331, Peoples R China
基金
中国国家自然科学基金;
关键词
SARS-CoV-2; Bioinformatics tool; Database; Software; Webserver; COVID-19; VISUALIZATION; RESOURCE; PROTEOME; PLATFORM; TARGETS; IMPACT; VIRUS; WUHAN;
D O I
10.1016/j.csbj.2023.09.044
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Bioinformatics has been playing a crucial role in the scientific progress to fight against the pandemic of the coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The advances in novel algorithms, mega data technology, artificial intelligence and deep learning assisted the development of novel bioinformatics tools to analyze daily increasing SARS-CoV-2 data in the past years. These tools were applied in genomic analyses, evolutionary tracking, epidemiological analyses, protein structure interpretation, studies in virus-host interaction and clinical performance. To promote the in-silico analysis in the future, we conducted a review which summarized the databases, web services and software applied in SARS-CoV-2 research. Those digital resources applied in SARS-CoV-2 research may also potentially contribute to the research in other coronavirus and non-coronavirus viruses.
引用
收藏
页码:4697 / 4705
页数:9
相关论文
共 50 条
  • [11] Viral Related Tools against SARS-CoV-2
    Fernandez-Garcia, Laura
    Pacios, Olga
    Gonzalez-Bardanca, Monica
    Blasco, Lucia
    Bleriot, Ines
    Ambroa, Anton
    Lopez, Maria
    Bou, German
    Tomas, Maria
    VIRUSES-BASEL, 2020, 12 (10):
  • [12] Applying mixture model methods to SARS-CoV-2 serosurvey data from Geneva
    Bouman, Judith A.
    Kadelka, Sarah
    Stringhini, Silvia
    Pennacchio, Francesco
    Meyer, Benjamin
    Yerly, Sabine
    Kaiser, Laurent
    Guessous, Idris
    Azman, Andrew S.
    Bonhoeffer, Sebastian
    Regoes, Roland R.
    EPIDEMICS, 2022, 39
  • [13] Retrieval and Investigation of Data on SARS-CoV-2 and COVID-19 Using Bioinformatics Approach
    Fahmi, Muhamad
    Kharisma, Viol Dhea
    Ansori, Arif Nur Muhammad
    Ito, Masahiro
    CORONAVIRUS DISEASE - COVID-19, 2021, 1318 : 839 - 857
  • [14] Organoid Technologies for SARS-CoV-2 Research
    Khiry Sutton
    Timothy Leach
    Vikram Surendran
    Phillip Clapp
    Sean Murphy
    Current Stem Cell Reports, 2022, 8 : 151 - 163
  • [15] Animal models in SARS-CoV-2 research
    Chu, Hin
    Chan, Jasper Fuk-Woo
    Yuen, Kwok-Yung
    NATURE METHODS, 2022, 19 (04) : 392 - 394
  • [16] Research during the SARS-CoV-2 pandemic
    Munoz de Nova, Jose Luis
    Ortega-Gomez, Mara
    Abad-Santos, Francisco
    MEDICINA CLINICA, 2021, 156 (01): : 39 - 40
  • [17] The Importance of Research on the Origin of SARS-CoV-2
    Lundstrom, Kenneth
    Seyran, Murat
    Pizzol, Damiano
    Adadi, Parise
    Mohamed Abd El-Aziz, Tarek
    Hassan, Sk. Sarif
    Soares, Antonio
    Kandimalla, Ramesh
    Tambuwala, Murtaza M.
    Aljabali, Alaa A. A.
    Kumar Azad, Gajendra
    Pal Choudhury, Pabitra
    Uversky, Vladimir N.
    Sherchan, Samendra P.
    Uhal, Bruce D.
    Rezaei, Nima
    Brufsky, Adam M.
    VIRUSES-BASEL, 2020, 12 (11):
  • [18] Solidifying diagnostics in SARS-CoV-2 research
    Cimolai, Nevio
    AMERICAN JOURNAL OF OBSTETRICS & GYNECOLOGY MFM, 2022, 4 (01)
  • [19] COVID - structural research of SARS-CoV-2
    Bombicz, Petra
    CRYSTALLOGRAPHY REVIEWS, 2022, 28 (01) : 1 - 3
  • [20] Animal models in SARS-CoV-2 research
    Hin Chu
    Jasper Fuk-Woo Chan
    Kwok-Yung Yuen
    Nature Methods, 2022, 19 : 392 - 394