We have established multiple independent, parallel robotic systems for HTS/μHTS/iHTS and HCS operations that are capable of handling 96-, 384-, and 1536-well plate formats. These systems accommodate a variety of assay formats and are particularly well-suited for conventional and multiplex protein-protein interactions and phenotypic screens.
- HTS/HCS system I: The first system features a central vertical robotic system with three outpost readers: (i) EnVision multimode reader (HTS in 96/384/1536 well format), (ii) FlexStation II agonist-injectable, 384-well fluorescence reader, and (iii) ImageXpress (HCS in 96/384-well format). This system is integrated with a cell hotel, plate stacker, and various liquid handlers equipped with pin tools for low-volume (nL) transfer. All of these components are in an enclosed environment, facilitating live-cell HCS screens under aseptic conditions.
- HTS/HCS system II: The second system features the Twister II robot integrated with (i) an EnVision multimode reader (HTS in 96/384/1536-well format) and (ii) ImageXpress (HCS in 96/384/1536 well format) supported by the Sciclone liquid handling workstation.
- System III: Corning’s Epic system for label-free molecular interaction screens provides a third platform for hit identification and confirmation by direct detection of protein-compound binding and cell-based screens under physiological conditions.
Compound library collections
We have a collection of more than 500K chemical compounds, including:
- Bioactive compounds
- FDA approved drugs
- Natural products
- Diversity libraries
High-throughput screening data analysis and management
- Data reduction and management
- Data presentation, result query
- Compound library management, plate managment
- File preprocessing, report preparation
- Chemical queries
- Cluster analysis and hit-prioritization
- Molecular property calculations and filtering
- PAINS and REOS compounds identification
- Quantitative Structure-Activity Relationship (QSAR)
- ADME properties prediction
- Integration and analysis of large-scale genomic datasets, including
- NCI Genomic Data Commons
- The Cancer Genome Atlas (TCGA)
- Cancer Cell Line Encyclopedia (CCLE)
- Project Achilles
- Analysis of gene co-expression and mutual exclusivity of genomic alterations
- Analysis of Protein-protein, protein-compound, and functional interaction networks topology
- Protein homology modeling, analysis of secondary structure, and functional domains
- Molecular docking and virtual screening of compound libraries
- Protein-protein and protein-peptide docking
- Molecular dynamics simulation
- Structure-based and ligand-based drug design and structure optimization