Immunoinformatics & Systems immunology

Immune system is a composite system of the human body and understanding it is one of the most interesting topics in biology. Immunology research is vital for thoughtful the appliances underlying the defence of human body and to progress drugs for immunological diseases and continue health. Modern results in genomic and proteomic knowledge have changed the immunology research extremely. Sequencing of the human and other ideal organism genomes has formed gradually great capacities of data relevant to immunology study and at the similar time vast amounts of purposeful and clinical data are being conveyed in the scientific literature and kept in clinical records. Latest improvements in bioinformatics or computational biology were co-operative to know and organize these large scale data and gave rise to different zone that is called Computational immunology or immunoinformatics.

Computational immunology is a division of bioinformatics and it is founded on same concepts and tools, such as arrangement position and protein structure prediction tools. Immunomics is a discipline like genomics and proteomics. It is a science, which precisely associates Immunology with computer science, mathematics, chemistry, and biochemistry for large-scale analysis of immune system functions. It objects to study the compound protein–protein relations and networks and permits a well accepting of immune responses and their part during normal, diseased and reformation states. Computational immunology is a part of immunomics, which is concentrated on analyzing large scale experimental data.

  1. Human systems immunology
  2. Cellular communication, migration and dynamics
  3. Immunoreceptor signalings: Receptors and pathways
  4. Systems analysis of cancer and model organisms
  5. Modeling signaling pathways and transcriptional networks