Transcript Machine Learning

G. P. S. Raghava
Institute of Microbial Technology, Chandigarh
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Novelty Behind CRDD
• Compilation of resources (single platform)
• High priority to peer-review data
• Web Interface over libraries (e.g. R)
• Integration of chemo/pharma/bioinformatics
• User-friendly interfaces
• Support for multiple programming languages
• Award/Reward system
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• Promoting Open Source for Drug Discovery(OSDD)
• Bringing all experts on single plateform
– Diverse background of speakers (Computer Science to
Pharma)
– Lectures covers wide range of topics (insilico drug discovery)
• Informatics (Soft-computing, clusteing, Machine learning etc.)
• Bioinformatics (annotation, protein modelling/docking,
interaction)
• Chemoinformatics (structure, QSAR based inhibitors)
• Pharmacoinformatics
• Clinical informatics
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Total participants ~170
Speakers
~40
OSDD Fellowships
~15
Diverse Backgrounds
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~ 110 students (M.Sc, B.Tech, MBA, M.Pharma,MCA,MBBS)
~ 40 Research scholars
~ 20 faculty
Biology, bioinformatics, chemistry, clinical, medicine, computer
science, Pharmacology etc.
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Ongoing Works at IMTECH
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Sort Term Future Plan
• Prediction of protein-protein interaction in Mtb proteins
• Experimental validation of interaction
• A database of natural drug products
• Computation of structure descriptor of drug molecules
• Biobox or Bio cluster service to OSDD community
• Organism specific databases: Malaria and Mtb
• Virtual jobs particularly for women's
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