Saint Louis University’s Protein Core is a shared-use core facility that supports expression, purification and analysis of reagent and preclinical proteins. The core provides instrumentation and ...
Yeast-based protein expression systems will likely play an important role in vaccine production during future pandemics.
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
To enhance CAR T therapies, scientists are actively studying TCR signaling and T-cell exhaustion mechanisms to improve CAR T persistence and function. Additionally, there is a growing trend towards ...
Rising biotech investments and demand for therapeutic proteins are fueling rapid growth in protein expression systems, with ...
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Deep learning–based codon optimization framework boosts protein expression in E coli
By combining Transformer-based sequence modeling with a novel conditional probability strategy, the approach overcomes long-standing trade-offs between maximizing expression metrics and maintaining ...
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