Rising biotech investments and demand for therapeutic proteins are fueling rapid growth in protein expression systems, with mammalian cell platforms and essential reagents driving innovation. The ...
This comprehensive report provides an insightful overview of the global protein expression market, highlighting key market trends and revenue projections. It offers detailed data ...
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 ...
The most successful players — both old and new — are those focusing on operational risk control rather than assay novelty.
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 ...
Abselion has expanded its Amperia™ platform with a Tagged Protein Quantification Kit | His-tag and a Tagged Protein Sensor | ...
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 ...
AZoLifeSciences on MSN
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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