Martin Löwer

Prediction of tumor-specific splicing from somatic mutations as a source of neoantigen candidates

This paper introduces splice2neo, a tool to identify tumor-specific splice junctions from somatic mutations, which can generate neoantigen candidates for immunotherapy.

Multiple instance learning to predict immune checkpoint blockade efficacy using neoantigen candidates

This study uses multiple instance learning to predict immune checkpoint blockade efficacy based on qualitative neoantigen profiles, showing better performance than quantitative approaches.

In silico analysis of predicted differential MHC binding and CD8+ T-cell immune escape of SARS-CoV-2 B.1.1.529 variant mutant epitopes

The paper analyzes MHC binding and CD8+ T-cell immune escape of SARS-CoV-2 Omicron and Delta variants by comparing epitope binding affinities and identifying mutations affecting immune recognition.

Large-scale analysis of SARS-CoV-2 spike-glycoprotein mutants demonstrates the need for continuous screening of virus isolates

The paper analyzes SARS-CoV-2 genome data to show increasing mutation rates in spike protein variants over time and highlights the need for continuous viral surveillance.

Targeting the PD-1/PD-L1 pathway potentiates immunoediting and changes the dynamics of neutral evolution in a mouse model of colorectal cancer

This study shows that neutral evolution dominates tumor shaping in a mouse CRC model, and PD-1/PD-L1 blockade enhances immunoediting and tumor homogeneity.