Screening Strategies in Drug Discovery – Multimedia

Poster
Rapid analysis of 3D tumour spheroids in soft agar and on ultra-low attachment plates using a laser scanning imaging system
The requirement for better in-vitro models that are compatible with high-throughput screening campaigns has led to the development of 3D cell cultures models, especially muliticellular spheroids, which retain many of the morphological and genetic traits of tumours.
Here we describe the formation of such spheroids by two methods: on ultra-low attachment plates and in semi-solid agarose. Both methods are compatible with 96- and 384-well microplate formats.
Here we describe the formation of such spheroids by two methods: on ultra-low attachment plates and in semi-solid agarose. Both methods are compatible with 96- and 384-well microplate formats.

App Note / Case Study
Live Cell Biosensor Assay Used To Interrogate GPCRs - Comparative Analysis of Biosensor Variants
This application note compares the performance of the highest and lowest affinity variants using automated methods and the highly-sensitive bottom reading capabilities of an HTS microplate reader. Sensitive detection of the 22F basal signal allows for use of this variant under a broad range of conditions, providing an assay with both superior dynamic range and sensitivity.

Poster
Integrating compound storage into automated laboratory workflows
This poster discusses the benefits of comPOUND for automated sample storage and delivery. TTP Labtech’s pneumatic transport technology, lab2lab, integrates these stores with other instrumentation into managed, fully automated workflows, allowing the scientist to focus on research and data analysis.

Poster
Predictive in silico Screening to Determine Vector-Mediated Transport Properties for the Blood-Brain Barrier Choline Transporter
An attempt to analyze vector-mediated transport properties for the blood-brain barrier choline transporter (BBBCHT) was made to assess and improve drug delivery to the central nervous system.

App Note / Case Study
Analysis of a New High Throughput Screening Detection Technology for Rapid hERG Safety Testing using a Fluorescence Polarization Assay
Support Synergy™ Neo launch by providing speed and sensitivity data for Fluorescence Polarization detection mode in low volume 384-well plate using hERG biochemical assay as a Model.

App Note / Case Study
BRD4 Bromodomain 1 Inhibitor Screening Using a Homogeneous Proximity Assay
Demonstration of profiling and primary screening of an epigenetic target; a histone acetylating bromodomain. This is a TR-FRET based application highlighting the use of automated instrumentation and a high-throughput screening (HTS) multi-mode microplate reader.

App Note / Case Study
Integration of Liquid Handler Quality Control Into the HTS Daily Routine
This application note describes how the Artel MVS® Multichannel Verification System can be used to assess the performance of the liquid handlers integrated into a PerkinElmer cell::explorer high throughput screening (HTS) system.

App Note / Case Study
Fully Automated 24-Well Madin-Darby Canine Kidney (MDCK) Permeability Assay Utilizing the Hamilton Microlab® Star Liquid Handling Platform
We have successfully developed a fully automated protocol utilizing a Hamilton MICROLAB STAR integrated with select third party peripheral devices to suit the assay requirements. The method was validated using 23 marketed drugs with diverse physico-chemical properties and a wide range of published apparent permeabilities (Papp).

App Note / Case Study
Fully automated sitting drop protein crystallization with CyBi®-CrystalCreator using JBScreen Basic HTS Kit
Growing high-quality protein crystals is still a major bottleneck and very time consuming step in this process. This application note describes screening experiments using the fully automated CyBi®-CrystalCreator in combination with a commercially available crystallization screen from Jena Bioscience.

Poster
Novel Antimalarial Drug Candidates Generated In Silico by Analysis of Public HTS Data
This research aims to provide proof-in-principle that in silico tools could be applied to public data so as to efficiently identify active chemistry with good ADMET properties.
Advertisement