Learning from HIV-1 to predict the immunogenicity of T cell epitopes in SARS-CoV-2.

We describe a physics-based learning model for predicting the immunogenicity of cytotoxic T lymphocyte (CTL) epitopes derived from diverse pathogens including SARS-CoV-2. The model was trained and optimized on the relative immunodominance of CTL epitopes in human immunodeficiency virus infection. Its accuracy was tested against experimental data from patients with COVID-19.

Predicting the Immunogenicity of T cell epitopes: From HIV to SARS-CoV-2.

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.

A First-in-Human Study To Assess the Safety and Pharmacokinetics of Monoclonal Antibodies against Human Cytomegalovirus in Healthy Volunteers.

Human cytomegalovirus (HCMV) can cause significant disease in immunocompromised patients and treatment options are limited by toxicities. CSJ148 is a combination of two anti-HCMV human monoclonal antibodies (LJP538 and LJP539) that bind to and inhibit the function of viral HCMV glycoprotein B (gB) and the pentameric complex, consisting of glycoproteins gH, gL, UL128, UL130, and UL131. Here, we evaluated the safety, tolerability, and pharmacokinetics of a single intravenous dose of LJP538 or LJP539 or their combination in healthy volunteers.