Abstract
| Original language | English |
|---|---|
| Article number | 4327 |
| Number of pages | 13 |
| Journal | Scientific Reports |
| Volume | 8 |
| DOIs | |
| Publication status | Published - 12 Mar 2018 |
Funding
This work was supported by NIH (grant number 1R21CA209941-01), through the Informatics Technology for Cancer Research (ITCR) initiative of the National Cancer Institute (NCI), and by a training fellowship from the Gulf Coast Consortia, on the Computational Biology Training Program (CPRIT Grant No. RP170593). Additionally, this work was partially supported by a fellowship (202186/2014-8) from CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnólgico), under the Brazilian Scientific Mobility Program. Finally, this work was also partially supported by the Big-Data Private-Cloud Research Cyberinfrastructure MRI-award funded by NSF under grant CNS-1338099 and by Rice University.
Keywords
- major histocompatibility complex
- peptides
- T-cell-based immunotherapies
- docking strategies
- cancer immunotherapy
- protein structure predictions