Drug Targets – Multimedia

This infographic explores how real-time metabolic analysis unlocks all of these opportunities and is transforming drug discovery across diverse therapeutic areas.

This poster describes the use of CRISPR-ready iPSCs, which are engineered to constitutively express Cas9, enabling the rapid generation of high-efficiency gene knockouts and CRISPR screens in a functional, physiologically relevant cell background.

This app note highlights how reliable kinetics and affinity for high-affinity interactions can be obtained from significantly less data than is commonly used.

Designing and performing assays that accurately measure small molecule binding kinetics is an important part of the drug discovery process. It allows researchers to predict the efficacy of potential novel therapeutics and make quick decisions about weak binders.

This application note demonstrates how reliable kinetics and affinity can be obtained from single measurement data, increasing sample throughput and saving sample material.

This compendium serves as a user-friendly reference for assay design on both bio-layer interferometry (BLI) and surface plasmon resonance (SPR) systems.

Target-based drug discovery (TBDD) has been the top drug discovery approach for ~30 years. TBDD approaches were developed to improve drug discovery by reducing the costs of bringing a drug to market, increasing throughput and being more straightforward and efficient than other methods.

Conventional bioassays often require labeled detection reagents to provide a measurable readout. However, modifications to molecular structure and/or function can skew results, and non-specific binding of the labels themselves can lead to an unwanted background signal.

Dysfunctional metabolism is associated with a growing number of different disease states. The ability to examine the genes, proteins and pathways that modulate energy metabolism is therefore a promising new avenue for drug discovery.

Energy metabolism plays a central role in a wide variety of cellular and physiological processes. Therefore, a deep understanding of how disruption to energy metabolism impacts cells can help in therapeutic drug discovery and development.