- Databases
- CLEA
- Cell Line Enrichment Analysis for targeted cancer therapies
- GS-LAGE
- A novel gene-specific analysis of microarray global data
- NetCSSP
- Prediction of chameleon seq. and amyloid fibril formation
- Tools
- Qhelix
- Analysis of geometric arrangement of protein helices
- QCanvas
- Fast clustering and
visualization of data
- Research interests
We have focused on developing innovative computational methods to understand mechanisms of protein function and related diseases. Our approaches are highly interdisciplinary in nature combining statistical data mining algorithms and 3D molecular modeling techniques. We also apply cutting-edge computational technologies to various drug discovery and protein engineering projects. To successfully achieve goals of our research, we have world-class computational facility including 64bit linux workstations, latest versions of commercial modeling software, subscription of commercial databases, in-house library of drug-like compounds and numerous in-house computational tools for bioinformatics and cheminformatics analyses
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- 1. Machine learning algorithms for biological sequence analysis
- 2. Computer-aided drug discovery
- 3. Unique gene-specific profiling of microarray data for the discovery of nobel biomarkers
- 4. In silico protein engineering