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Cheminformatics Research Training Program

Our Cheminformatics Research Training Program equips participants with expertise in cheminformatics research, computational drug discovery, and quantum chemistry applications.

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Cheminformatics Research Training Program

This program is tailored for researchers aiming to specialize in cheminformatics, covering molecular simulations, AI-driven drug discovery, and quantum chemistry applications in pharmaceutical and materials science.
In Other 200+ fields

Info @ +91-8977624748
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Note: Below modules are designed keeping high end industrial professionals into consideration. Please refer individual protocols below for affordable prices.

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Exclusive Cheminformatics Modules
Computational Drug Discovery and Lead Optimization

    Kindly review the fees outlined for the individual protocols listed in this module.

  • Binding free energy calculations for lead optimization
  • De novo molecular design using AI-driven tools
  • SAR and QSAR modeling for predictive drug design
  • Exploring deep learning in molecular docking and screening

Quantum Chemistry Applications in Cheminformatics

    Kindly review the fees outlined for the individual protocols listed in this module.

  • Molecular orbital analysis and reactivity prediction
  • Computational spectroscopy and reaction mechanisms
  • Machine learning applications in quantum chemistry
  • Electronic structure calculations for biomolecular interactions

AI and Machine Learning in Cheminformatics

    Kindly review the fees outlined for the individual protocols listed in this module.

  • Deep learning applications in structure-based drug design
  • Graph neural networks for molecular property prediction
  • Automating chemical reaction discovery with AI
  • Case studies on cheminformatics applications in biotech and pharma

Individual Protocols Under Cheminformatics Research Training Program

  1. Advanced virtual screening and lead discovery methodologies | Fee: Contact for fee
  2. Binding free energy calculations for lead optimization | Fee: Contact for fee
  3. De novo molecular design using AI-driven tools | Fee: Contact for fee
  4. SAR and QSAR modeling for predictive drug design | Fee: Contact for fee
  5. Exploring deep learning in molecular docking and screening | Fee: Contact for fee
  6. Ab initio and density functional theory (DFT) for molecular modeling | Fee: Contact for fee
  7. Molecular orbital analysis and reactivity prediction | Fee: Contact for fee
  8. Computational spectroscopy and reaction mechanisms | Fee: Contact for fee
  9. Machine learning applications in quantum chemistry | Fee: Contact for fee
  10. Electronic structure calculations for biomolecular interactions | Fee: Contact for fee
  11. Developing predictive models for ADME/Tox profiling | Fee: Contact for fee
  12. Deep learning applications in structure-based drug design | Fee: Contact for fee
  13. Graph neural networks for molecular property prediction | Fee: Contact for fee
  14. Automating chemical reaction discovery with AI | Fee: Contact for fee
  15. Case studies on cheminformatics applications in biotech and pharma | Fee: Contact for fee

Please contact on +91-8977624748 for more details

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