As discovery programs grow in complexity and throughput demands accelerate, automation has moved from a convenience to a core requirement for generating reliable, reproducible data at scale.
As multiplexing platforms become more scalable and flexible, biomarkers are playing an increasingly central role in both preclinical and clinical decision-making.
Study demonstrates that computationally-designed miniproteins can modulate GPCR activity in native cellular environments, expanding access to a major drug target family.
One bioreactor that handles both seed expansion and high-density production reduces facility capital, simplifies qualification, and compresses the seed train. Turndown ratio is the specification that makes it possible.
Explore the principles, technologies, and applications that enable scientists to design and build DNA for research, biotechnology, and therapeutic development.
The field has invested heavily in building better models for antibody discovery. The structural interaction data those models are trained on has not kept pace — and that shortfall is now a defining constraint on what AI can reliably do.
The integrated workflow combines icIEF fractionation and mass photometry, enabling simultaneous assessment of charge and size variants at single molecule resolution .
SLAS Europe 2026 showcased growing realism around AI in drug discovery, with attention shifting toward data quality, interoperability, and lab execution.
Learn the key assay design principles and workflow considerations that help support robust, scalable, and reliable high-throughput screening campaigns.