Results 181 to 190 of about 194,330 (301)

Adaptive Machine Learning Framework for Optimizing the Affinity Purification of Adeno‐Associated Viral Vectors

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Adeno‐associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed incurable. Currently, viral vector purification is a critical bottleneck in the gene therapy industry, impacting product efficacy and safety as well as accessibility and cost to patients ...
Kelvin P. Idanwekhai   +9 more
wiley   +1 more source

Stochastic model of IP3-induced Ca2+ spiking of HEK293 cells. [PDF]

open access: yesPLoS Comput Biol
Azzoni C   +5 more
europepmc   +1 more source

A Mechanistic Model of rAAV Production in Synthetic Cell Lines

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT The recombinant adeno‐associated virus (rAAV) is a widely used vector for gene therapy. Its manufacturing faces significant challenges in producing the large quantities of vectors needed for clinical applications and reducing empty particles.
Prahalad Srinivasan   +5 more
wiley   +1 more source

Engineering Murine Cross‐Reactivity Into an Affibody to Human Death Receptor 5

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Interspecies cross‐reactive protein therapeutics that target conserved epitopes across species are critical for translational research. The present study showcases the engineering of an affibody molecule, originally discovered for binding to human death receptor 5 (hDR5) with 94 nM affinity, to simultaneously acquire cross‐reactivity to murine
Tse‐Han Kuo   +3 more
wiley   +1 more source

Spectral Profiling of Early αsyn Aggregation in HEK293 Cells Modified to Stably Express Human WT and A53T-αsyn. [PDF]

open access: yesCells
Swaminathan P   +7 more
europepmc   +1 more source

Innovative methodology for flexible monitoring of various bioprocesses by using pre‐existing Raman data coupled with automated transfer learning technique

open access: yesBiotechnology Progress, EarlyView.
The application of the transfer learning algorithm successfully allowed the use of a model built on process A for real‐time monitoring of process B. This study shows the improvement obtained with this methodology compared to the direct application of the model.
Adèle Schini   +7 more
wiley   +1 more source

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