New Results
Predicting CD4 T-cell epitopes based on antigen cleavage, MHCII presentation, and TCR recognition
Dina Schneidman-Duhovny, Natalia Khuri, Guang Qiang Dong, Michael B. Winter, Eric Shifrut, Nir Friedman, Charles S. Craik, Kathleen P. Pratt, Pedro Paz, Fred Aswad, Andrej Sali
doi: https://doi.org/10.1101/415661
Dina Schneidman-Duhovny
1Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
2Department of Pharmaceutical Chemistry, and University of California, San Francisco, San Francisco, CA, USA
Natalia Khuri
1Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
2Department of Pharmaceutical Chemistry, and University of California, San Francisco, San Francisco, CA, USA
4Graduate Group in Biophysics, University of California at San Francisco, CA, USA
Guang Qiang Dong
1Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
2Department of Pharmaceutical Chemistry, and University of California, San Francisco, San Francisco, CA, USA
Michael B. Winter
2Department of Pharmaceutical Chemistry, and University of California, San Francisco, San Francisco, CA, USA
Eric Shifrut
5Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
Nir Friedman
5Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
Charles S. Craik
2Department of Pharmaceutical Chemistry, and University of California, San Francisco, San Francisco, CA, USA
3California Institute for Quantitative Biosciences (QB3), University of California, San Francisco, San Francisco, CA, USA
Kathleen P. Pratt
6Uniformed Services University of the Health Sciences, Bethesda, MD, USA
Pedro Paz
7Bayer HealthCare, San Francisco, CA, USA
Fred Aswad
7Bayer HealthCare, San Francisco, CA, USA
Andrej Sali
1Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
2Department of Pharmaceutical Chemistry, and University of California, San Francisco, San Francisco, CA, USA
3California Institute for Quantitative Biosciences (QB3), University of California, San Francisco, San Francisco, CA, USA
Article usage
Posted September 13, 2018.
Predicting CD4 T-cell epitopes based on antigen cleavage, MHCII presentation, and TCR recognition
Dina Schneidman-Duhovny, Natalia Khuri, Guang Qiang Dong, Michael B. Winter, Eric Shifrut, Nir Friedman, Charles S. Craik, Kathleen P. Pratt, Pedro Paz, Fred Aswad, Andrej Sali
bioRxiv 415661; doi: https://doi.org/10.1101/415661
Predicting CD4 T-cell epitopes based on antigen cleavage, MHCII presentation, and TCR recognition
Dina Schneidman-Duhovny, Natalia Khuri, Guang Qiang Dong, Michael B. Winter, Eric Shifrut, Nir Friedman, Charles S. Craik, Kathleen P. Pratt, Pedro Paz, Fred Aswad, Andrej Sali
bioRxiv 415661; doi: https://doi.org/10.1101/415661
Subject Area
Subject Areas
- Biochemistry (11745)
- Bioengineering (8751)
- Bioinformatics (29195)
- Biophysics (14971)
- Cancer Biology (12095)
- Cell Biology (17411)
- Clinical Trials (138)
- Developmental Biology (9421)
- Ecology (14178)
- Epidemiology (2067)
- Evolutionary Biology (18306)
- Genetics (12245)
- Genomics (16801)
- Immunology (11867)
- Microbiology (28083)
- Molecular Biology (11592)
- Neuroscience (60965)
- Paleontology (451)
- Pathology (1870)
- Pharmacology and Toxicology (3238)
- Physiology (4959)
- Plant Biology (10427)
- Synthetic Biology (2885)
- Systems Biology (7339)
- Zoology (1651)