Computational and Bioinformatics Techniques for Immunology
1Department of Drug Sciences, University of Catania, Catania, Italy
2Cancer Vaccine Center, Dana-Farber Cancer Institute, Boston, MA, USA
3National Research Council, Rome, Italy
4Kyushu Institute of Technology, Department of Bioscience and Bioinformatics, Fukuoka, Japan
Computational and Bioinformatics Techniques for Immunology
Description
Immunology has embraced data-driven computational and mathematical approaches to understand the immune system, its disorders and infections. Computational immunology covers mathematical and/or computational methods to study the dynamics of cellular and molecular entities of the immune system. Immunological bioinformatics or immunoinformatics is dedicated to method and tool developments for the analyses of omic-type data in immunology and knowledge inference using statistical inference and machine learning algorithms. Both fields are complementary key drivers of data-driven basic and translational immunology research for the benefit of human and animal health.
This special issue intends to collect contributions from mathematicians, bioinformaticians, computational scientists, and engineers together with experimental immunologists to present and discuss latest developments in different subareas ranging from modeling and simulation to machine learning predictions and their application to basic and clinical immunology. Potential topics include, but are not limited to:
- Mathematical/computational modeling integrated with biological and clinical approaches of
- immunological ageing
- innate immune response
- immune response to infectious diseases and vaccine delivery
- intracellular signaling
- intracellular signalling in context of immune cell differentiation
- immune responses including autoimmunity
- metabolome of immune response
- cellular trafficking in the lymphatic system
- immune regulatory gene networks
- immune memory and tolerance
- microbiota metagenomics and nutrition in immunity
- transplantation and alloimmunity
- immunopharmacogenomics
- immune cell imaging
- gene regulatory networks
- Epitope/peptide immunogenicity prediction tools (B cell, T cell, allergies, and immunotherapy)
- Multiscale modeling of the immune system
- Computer-assisted vaccine design
- Data analysis in immunobioinformatics
Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/bmri/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/bmri/computational.biology/cbi/ according to the following timetable: