Julia Kodysh

TL;DR: The current state of knowledge of innate and adaptive immune responses elicited by SARS-CoV-2 infection and the immunological pathways that likely contribute to disease severity and death are summarized.

TL;DR: A model of tumor epitope immunogenicity was developed that filtered out 98% of non-immunogenic peptides with a precision above 0.70 and was validated in an independent cohort of 310 epitopes prioritized from tumor sequencing data and assessed for T cell binding.

TL;DR: This work presents an online, automated method for query selection that determines which queries best mimic the data and shows that spatial patterns in real world activity and temporal patterns in web search query activity can both surface interesting and useful correlations.

TL;DR: This paper describes the sequencing protocol and computational pipeline for the PGV-001 personalized vaccine trial, a therapeutic peptide vaccine targeting neoantigens identified from patient tumor samples, and hopes that the functionality of these tools may extend beyond the specifics of the trial and enable other research groups in their own neoantigen investigations.

TL;DR: This study combines computational prediction of T cell epitopes, recently published B cell epitope mapping studies, and epitope accessibility to select candidate peptide vaccines for SARS-CoV-2, and proposes a set of Sars-Cov-2 vaccine peptides for use in subsequent murine studies and clinical trials.