Distek Inc

Paige’s state-of-the-art foundation models will be integrated with Sonrai’s intuitive cloud-based data analysis and bioinformatics platform.

In this episode, we explore BIOVECTRA’s capabilities in antibody-drug conjugate (ADC) manufacturing, from complex conjugation chemistry to synthesis of highly potent payloads. We’ll also showcase how BIOVECTRA’s extensive experience in complex chemistries and specialized small molecule manufacturing gives them a unique perspective, strengthening their approach to ADC production and ensuring clients receive custom solutions across all project stages.

Using cholesterol-modified oligonucleotides, the research team aims to improve the delivery of antisense nucleotide-based therapies for treating neurodegenerative diseases and brain cancers.

Metabolic Flux Analysis (MFA) is a powerful technique used to characterize metabolic phenotype driving to improved productivity in biomanufacturing. MFA is most powerful when absolute concentrations of the metabolic intermediates are measured, but doing so in practice is often impractical due to inherent limitations of conventional absolute quantitation by mass spectral analysis. Recently, advances in artificial intelligence (AI) have been applied to solving the problem of broad, untargeted, absolute quantitation in liquid chromatography-mass spectrometry (LC-MS). These new approaches extend readily to the determination of absolute concentrations of stable isotopically-labeled metabolic intermediates, offering a new tool for MFA. Dr Sam Yenne from Metalytics Inc., a company that specializes in the science of metabolic flux, has recently assessed and adopted Pyxis, a new tool for absolute quantitation of raw LC-MS data. Dr Yenne describes MFA, its utility in biopharmaceutical development, associated challenges and how Pyxis impacts those challenges.

The recombinant vaccine, under the brand name Vimkunya, is recommended for persons age 12 and older who are traveling to a country or territory where there is a chikungunya outbreak.

This collaboration aims to advance a first-in-human clinical study by using autologous iPSC technology.