Special Issue "Systems Immunology Approaches in Infectious Diseases"

A special issue of Biology (ISSN 2079-7737).

Deadline for manuscript submissions: 30 September 2020.

Special Issue Editors

Dr. Lubna Pinky
Website
Guest Editor
Department of Pediatrics, University of Tennessee Health Science Center, Molecular Science Building, Room 820, 858 Madison Ave.Memphis, TN 38163,USA
Interests: Quantitative Virology, Quantitative Immunology, Coinfection Biology, Infectious Diseases, Mathematical Modeling
Dr. Antonio Riva
Website
Guest Editor
Institute of Hepatology (IoH), Foundation for Liver Research, and Honorary Lecturer at King's College London (London, UK)
Interests: immune/inflammatory correlates of liver disease; gut–liver axis; alcoholic liver disease, cirrhosis, and end-stage liver disease; novel biomarkers of liver disease severity as molecular targets for immunotherapy; viral immunology
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Special Issue Information

Dear Colleagues,

With the advent of advanced molecular technologies, a massive amount of immunological data is now available in the field of infectious diseases. In addition, the scale and complexity of analysis have grown along with the large dimension of these datasets. As a result, systematic investigation using quantitative tools such as bioinformatics, mathematical, and statistical modeling are playing a critical role in providing accurate approximations of the complicated patterns in immunological data. Thus, incorporating and applying mathematics, computer science, engineering, and biology, the Systems Biology approach allows a simplified representation of the complex host–pathogen interactions during infections and enhances our ability to investigate and combat diseases, all with increased accuracy, timeliness, and efficiency.

This research topic will be designed to feature the latest novel findings about molecular and cellular mechanisms of host antiviral defense from high-throughput experimental methodologies to computational and theoretical approaches. All papers will be comprised of multidisciplinary approaches to handling the existing challenges faced in this fast-growing field. The vision of this Special Issue is to bring clinicians; engineers; basic scientists such as biologists, immunologists, physicists, and mathematicians; and big data analytics together to provide readers with the current state of the art of systems biology approaches in understanding immunity against pathogens, and aiding the development of antiviral therapies.

Dr. Lubna Pinky
Dr. Antonio Riva
Guest Editors

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 papers will be 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. Biology 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 1400 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.

Keywords

  • innate and adaptive immunity
  • multi-pathogen infections or coinfections
  • antimicrobial resistance
  • emerging infectious diseases
  • genomic, proteomic, and metabolic analysis
  • imaging
  • machine learning techniques
  • computational modeling
  • nonlinear analysis
  • statistical analysis

Published Papers

This special issue is now open for submission.
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