Ontology highlight
ABSTRACT:
SUBMITTER: Gao A
PROVIDER: S-EPMC7241102 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature
Gao Ang A Chen Zhilin Z Segal Florencia Pereyra FP Carrington Mary M Streeck Hendrik H Chakraborty Arup K AK Julg Boris B
bioRxiv : the preprint server for biology 20200515
We describe a physics-based learning model for predicting the immunogenicity of Cytotoxic T Lymphocyte (CTL) epitopes derived from diverse pathogens, given a Human Leukocyte Antigen (HLA) genotype. The model was trained and tested on experimental data on the relative immunodominance of CTL epitopes in Human Immunodeficiency Virus infection. The method is more accurate than publicly available models. Our model predicts that only a fraction of SARS-CoV-2 epitopes that have been predicted to bind t ...[more]