Immunoinformatics: Where Immunology Meets Bioinformatics Article Swipe
YOU?
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· 2019
· Open Access
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· DOI: https://doi.org/10.5958/0973-9149.2019.00010.8
One of the most challenging research areas in biology is to understand the complex immune system and the computational tools have played a pivotal role in increasing the pace of research in the field of immunology. Thus, applications of computational methods and tools in unravelling the complex immune system and thereof translating the understanding in solving the immunological problems have given rise of a new field, immunoinformatics. Among the diverse areas of research, prediction of B-and T-cell epitopes is being considered one of the major and potential translational applications of immunoinformatics. It is now possible to identify and characterise an individual's MHC allotype based on the whole genome sequencing, which is an essential and a preliminary component in designing effective vaccines and therapeutics. The potential in silico epitopes prediction methods have been developed that have made epitope mapping an easy task by decreasing the list of potential epitope candidates for experimental testing. Here, we review a range of immunoinformatics tools developed and available online for public use freely, with an emphasis on B-and T-cell epitopes prediction. We also highlight the various algorithms and methods that formed the basis of important immunoinformatics tools and discuss their strengths and weakness.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5958/0973-9149.2019.00010.8
- OA Status
- hybrid
- Cited By
- 3
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- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2992675424Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5958/0973-9149.2019.00010.8Digital Object Identifier
- Title
-
Immunoinformatics: Where Immunology Meets BioinformaticsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-01-01Full publication date if available
- Authors
-
Naveen Kumar, Sandeep Bhatia, Richa Sood, Atul Kumar Pateriya, Yashpal Singh MalikList of authors in order
- Landing page
-
https://doi.org/10.5958/0973-9149.2019.00010.8Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.5958/0973-9149.2019.00010.8Direct OA link when available
- Concepts
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Bioinformatics, Computational biology, Medicine, Biology, Data science, Computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2021: 1, 2020: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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