Cancer therapy via neoepitope-specific monoclonal antibody cocktails
Cellular heterogeneity presents a significant challenge to cancer treatment. Antibody therapies targeting individual tumor-associated antigens can be extremely effective but are not suited for all patients and often fail against tumors with heterogeneous
Colin J. Hartman +11 more
doaj +1 more source
Yeast display platform with expression of linear peptide epitopes for high-throughput assessment of peptide-MHC-II binding. [PDF]
Huisman BD, Balivada PA, Birnbaum ME.
europepmc +1 more source
A high-throughput yeast display approach to profile pathogen proteomes for MHC-II binding. [PDF]
Huisman BD +3 more
europepmc +1 more source
Edge usage, motifs and regulatory logic for cell cycling genetic networks
The cell cycle is a tightly controlled process, yet its underlying genetic network shows marked differences across species. Which of the associated structural features follow solely from the ability to impose the appropriate gene expression patterns?
Krzywicki, A. +2 more
core +3 more sources
Highly protective antimalarial antibodies via precision library generation and yeast display screening. [PDF]
Banach BB +26 more
europepmc +1 more source
Correlating single-molecule rupture mechanics with cell population adhesion by yeast display. [PDF]
Santos MS +4 more
europepmc +1 more source
Proteome-Scale Screening to Identify High-Expression Signal Peptides with Minimal N-Terminus Biases via Yeast Display. [PDF]
Holec PV +4 more
europepmc +1 more source
A Protein-Engineered, Enhanced Yeast Display Platform for Rapid Evolution of Challenging Targets. [PDF]
Zahradník J +6 more
europepmc +1 more source
Yeast surface display is a promising biotechnological tool that uses genetically modified yeast cell wall proteins as anchors for enzymes of interest, thereby transforming yeast cell wall into a living catalytic material. Here, we present a comprehensive
Tea Martinić Cezar +5 more
doaj +1 more source
Reduction of therapeutic antibody self-association using yeast-display selections and machine learning. [PDF]
Makowski EK +14 more
europepmc +1 more source

