Master Computer Aided Drug Design in Taste Masking (CADD) in 4 weeks through hands-on, project-based online training with DSTC.
The Computer-Aided Drug Design in Taste Masking (CADD) program integrates computational methods with pharmaceutical science to tackle the challenge of improving the taste of medications. Leveraging advanced modeling techniques, participants delve into the intricate molecular structures of drugs, aiming to design formulations that effectively mask their bitter taste. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
The Computer-Aided Drug Design in Taste Masking (CADD) program integrates computational methods with pharmaceutical science to tackle the challenge of improving the taste of medications. Leveraging advanced modeling techniques, participants delve into the intricate molecular structures of drugs, aiming to design formulations that effectively mask their bitter taste.
1. Apply biotechnology methods to authentic research and industry problems.
2. Build a defensible project you can showcase to supervisors, reviewers, or employers.
β’ Master's and senior undergraduate students specializing in biotechnology
β’ R&D engineers and working professionals applying biotechnology in industry
β’ Academics and educators building research or teaching capacity in biotechnology
β’ Tangible, reproducible biotechnology work to show supervisors or employers.
β’ A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
β’ TAS2R bitter receptor family and the promiscuity of individual receptors
β’ BitterDB and the structure-activity patterns behind bitter drug molecules
β’ Why patient adherence, particularly paediatric, makes this a formulation priority
β’ BitterPredict and similar classifiers, and their limited chemical space
β’ Molecular descriptors that correlate with bitterness, and the ones that only appear to
β’ Homology models of TAS2Rs and the caution required with docking into them
β’ Beta-cyclodextrin inclusion complexes and host-guest geometry
β’ Molecular docking and MD to estimate binding and complexation stability
β’ Phase solubility studies as the experimental check on the computed prediction
β’ Ion exchange resinates, polymer coating and lipid barriers compared
β’ Prodrug and salt selection where the molecule permits it
β’ Release requirements that a masking approach must not compromise
β’ Electronic tongue measurement and its correlation with human panels
β’ In vitro dissolution in simulated saliva as a screening assay
β’ Human taste panel design, ethics approval and the limits of small panels
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | AutoDock Vina |
| Covered Tool / Platform | PyRx |
| Covered Tool / Platform | SchrΓΆdinger Suite |
| Covered Tool / Platform | GROMACS |
| Covered Tool / Platform | ChemDraw |
| Covered Tool / Platform | Discovery Studio |
| Covered Tool / Platform | ADMET Predictor |
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