Machine Learning

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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
• 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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THANK YOU