Literature DB >> 35611320

Towards faster response against emerging epidemics and prediction of variants of concern.

B Robson1,2.   

Abstract

The author, the journal, Computers in Biology and Medicine (CBM), and Elsevier Press more generally, played a helpful very early role in responding to COVID-19. Within a few days of the appearance of the "Wuhan Seafood isolate" genome on GenBank, a bioinformatics study was posted by the present author in ResearchGate in January 2020, "Preliminary Bioinformatics Studies on the Design of Synthetic Vaccines and Preventative Peptidomimetic Antagonists against the Wuhan Seafood Market Coronavirus. Possible Importance of the KRSFIEDLLFNKV Motif" DOI: 10.13140/RG.2.2.18275.09761. On February 2nd, 2020, a more thorough analysis was submitted to CBM, e-published on February 26, and formally published in April 2020, at about the same time as the virus named as 2019n-CoV was identified as essentially SARS and renames SARS-COV-2. This was followed by four further papers describing in more detail some previously unreported aspects of the early investigation. The speed of research and writing of the papers was made possible by knowledge-gathering tools. Based on this and earlier experiences with fast responses to emerging epidemics such as HIV and Mad Cow Disease, it is possible to envisage the nature of a speedier response to emerging epidemics and new variants of concern in established epidemics.
© 2022 The Author(s).

Entities:  

Year:  2022        PMID: 35611320      PMCID: PMC9119712          DOI: 10.1016/j.imu.2022.100966

Source DB:  PubMed          Journal:  Inform Med Unlocked        ISSN: 2352-9148


  35 in total

Review 1.  Beyond proteins.

Authors:  B Robson
Journal:  Trends Biotechnol       Date:  1999-08       Impact factor: 19.536

2.  Suggestions for a Web based universal exchange and inference language for medicine.

Authors:  Barry Robson; Thomas P Caruso; Ulysses G J Balis
Journal:  Comput Biol Med       Date:  2013-09-20       Impact factor: 4.589

3.  Doppelgänger proteins as drug leads.

Authors:  B Robson
Journal:  Nat Biotechnol       Date:  1996-07       Impact factor: 54.908

4.  Studies in the use of data mining, prediction algorithms, and a universal exchange and inference language in the analysis of socioeconomic health data.

Authors:  Barry Robson; S Boray
Journal:  Comput Biol Med       Date:  2019-07-25       Impact factor: 4.589

5.  Data-mining to build a knowledge representation store for clinical decision support. Studies on curation and validation based on machine performance in multiple choice medical licensing examinations.

Authors:  Barry Robson; Srinidhi Boray
Journal:  Comput Biol Med       Date:  2016-02-26       Impact factor: 4.589

6.  Extension of the Quantum Universal Exchange Language to precision medicine and drug lead discovery. Preliminary example studies using the mitochondrial genome.

Authors:  Barry Robson
Journal:  Comput Biol Med       Date:  2020-01-20       Impact factor: 4.589

Review 7.  De novo protein folding on computers. Benefits and challenges.

Authors:  Barry Robson
Journal:  Comput Biol Med       Date:  2022-02-08       Impact factor: 4.589

8.  Techniques assisting peptide vaccine and peptidomimetic design. Sidechain exposure in the SARS-CoV-2 spike glycoprotein.

Authors:  B Robson
Journal:  Comput Biol Med       Date:  2020-11-21       Impact factor: 4.589

9.  Inhibition of SARS-CoV-2 (previously 2019-nCoV) infection by a highly potent pan-coronavirus fusion inhibitor targeting its spike protein that harbors a high capacity to mediate membrane fusion.

Authors:  Shuai Xia; Meiqin Liu; Chao Wang; Wei Xu; Qiaoshuai Lan; Siliang Feng; Feifei Qi; Linlin Bao; Lanying Du; Shuwen Liu; Chuan Qin; Fei Sun; Zhengli Shi; Yun Zhu; Shibo Jiang; Lu Lu
Journal:  Cell Res       Date:  2020-03-30       Impact factor: 25.617

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