Screening Strategies in Drug Discovery – Multimedia

This guide explores how researchers can make the most of the latest 3D imaging tools to generate high-quality, relevant results from their cell culture experiments.

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

This whitepaper highlights the features and capabilities of a novel system for streamlining affinity analysis for rapid lead molecule screening.

Whether you are working in cell line development, 3D biology, drug screening —or a combination of the three — technologies that maximize throughput and reproducibility can free up your time and give you greater insights.

This eBook will provide readers with an overview of drug discovery, design, kinetics and development, highlighting challenges and solutions, successes, various modalities and approaches.

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 more.

Process development teams need detailed information, via a platform that delivers short gradients to allow the required sample throughput to detect HCPs in a low sub-ppm range.

Download this listicle to learn more about high-throughput screening, biochemical assays and cell-based assays.

Flow cytometry is an important part of the drug discovery workflow. From screening antibodies to small molecules, combining tests for various analytes in a single panel not only reduces the necessary sample volume but also collects more information in less time, accelerating the drug discovery process.

Speaking at the Advances in Drug Discovery & Development 2022 online symposium, Hannes Stark delivered his talk on drug binding structure prediction using geometric deep learning.