Journal
TRENDS IN IMMUNOLOGY
Volume 38, Issue 2, Pages 116-127Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.it.2016.11.006
Keywords
-
Categories
Funding
- NIAID
Ask authors/readers for more resources
Emergent responses of the immune system result from the integration of molecular and cellular networks over time and across multiple organs. High content and high-throughput analysis technologies, concomitantly with data driven and mechanistic modeling, hold promise for the systematic interrogation of these complex pathways. However, connecting genetic variation and molecular mechanisms to individual phenotypes and health outcomes has proven elusive. Gaps remain in data, and disagreements persist about the value of mechanistic modeling for immunology. Here, we present the perspectives that emerged from the National Institute of Allergy and Infectious Disease (NIAID) workshop 'Complex Systems Science, Modeling and Immunity' and subsequent discussions regarding the potential synergy of high-throughput data acquisition, data-driven modeling, and mechanistic modeling to define new mechanisms of immunological disease and to accelerate the translation of these insights into therapies.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available