This case study examines the automation and process change options available to emerging discovery/development stage pharmaceutical companies when considering implementing sophisticated high-throughput screens. Generally there are both financial and personnel constraints that have to be addressed when implementing state-of-the-art screening technology in smaller companies which generally are no...

Based on high-throughput density functional theory calculations, we performed screening for stable magnetic MAB compounds and predicted potential strong magnets permanent magnet magnetocaloric applications.

Giardia lamblia is one of the most common eukaryotic pathogens and is classified by the CDC as a category B agent of bioterrorism. In a departure from more traditional research focused on specific pathways or molecules, we have developed a high-throughput assay for screening libraries of small compounds for inhibitors and enhancers of trophozoite multiplication. Following a 24-h period of cultu...

High-Throughput Screening (HTS) data in its entirety is valuable raw material for the drug-discovery process. It provides the most complete information about the biological activity of a company's compounds. However, its quantity, complexity and heterogeneity require novel, sophisticated approaches in data analysis. At GeneData, we are developing methods for large-scale, synoptical mining of sc...

The diagnostics industry is constantly under pressure to bring innovation quicker to market and so the impetus to speed up product-development cycle times becomes greater. There are a number of steps in the product-development cycle where the application of high-throughput screening can help. In the case of lateral-flow immuno-diagnostics the selection of antibody reagents is paramount. In part...

T he search for novel organic molecules with biological activity on human, animal, and plant physiological systems has passed through many phases over the centuries. From first steps testing single molecules on whole living systems to fully automated high-throughput screening (HTS) testing tens or hundreds of thousands of molecules per day on purified protein targets, the search has become ever...

Michael J. McLachlan, Ryan P. Sullivan and Huimin Zhao Center for Biophysics and Computational Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA Departments of Chemical and Biomolecular Engineering, and Chemistry, University of Illinois at Urbana-Champa...

While many models of biological object recognition share a common set of ‘‘broad-stroke’’ properties, the performance of any one model depends strongly on the choice of parameters in a particular instantiation of that model—e.g., the number of units per layer, the size of pooling kernels, exponents in normalization operations, etc. Since the number of such parameters (explicit or implicit) is t...