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Special Issue "SARS-CoV-2 Bioinformatics"
A special issue of COVID (ISSN 2673-8112).
Deadline for manuscript submissions: 6 May 2023 | Viewed by 1515
Special Issue Editor
2. Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA
Interests: molecular biophysics; SARS-CoV-2 variants; structural bioinformatics; computer simulations; biomolecular engineering
Special Issue Information
SARS-CoV-2 emerged as a global threat and challenge. Throughout the COVID-19 pandemic and since its early days, computational works have been conducted from a better understanding of the virus to develop diagnostic tools, treatments, and vaccines. This was possible due to an already long history of success stories of computer simulations contributing to the understanding of complex systems in biology, pharmacology, and immunology. From the kinetics of the polymerization reaction of viruses and epidemiologic models to the design of antiviral molecules, a broad spectrum of studied phenomena illustrated the contributions from in silico works. A vast number of different theoretical approaches have been developed and applied and are nowadays boosted by the resurgence of artificial intelligence strategies. Rhinovirus, HIV, tobacco mosaic virus, Dengue, and Zika, among other systems, contribute to form this solid background for computational virology and immunoinformatics. Stepping on such a basis, the computational studies of SARS-CoV-2 together with the abundant source of experimental data promoted this research field to another level. Now is the time to highlight these in silico contributions and their importance in our fight against COVID-19. This is the main purpose of this Special Issue.
Moreover, often, theoretical papers are scattered in journals on different subjects due to the intrinsic multidisciplinary aspect of this research field. A Special Issue such as the present one offers the opportunity to portray the main contributions achieved at present in a single forum. Published in a common Special Issue, they can be a practical reference source for the topic and catalyze the cross-polymerization of the different computational approaches. High-quality scientific papers applying computational simulation methods to characterize any biological aspect of SARS-CoV-2, its infectivity, transmission, pathogenesis, diagnosis, treatments, and prevention are welcome. In particular, we would like to receive contributions that offer breakthrough contributions to the field. Works presenting new computational methods and tools are also welcome. Pure computational papers across different scales can be accepted providing they discuss the relevant experimental and/or clinical literature.
Dr. Fernando Barroso
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. COVID is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- computer simulation
- molecular dynamics
- Monte Carlo
- artificial inteligence
- host-pathogen interactions
- vaccine development