Certified Professional in Structural Bioinformatics for Drug Discovery
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- Introduction to Structural Bioinformatics and Drug Discovery
- Protein Structure Prediction and Modeling (Homology modeling, ab initio methods)
- Molecular Docking and Virtual Screening (Pharmacophore modeling, scoring functions)
- Structure-Based Drug Design (SBDD) and Lead Optimization
- Protein-Ligand Interactions and Binding Affinity
- Molecular Dynamics Simulations and Free Energy Calculations
- Cheminformatics and Drug Databases
- Case Studies in Structural Bioinformatics for Drug Discovery
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Job Title (Structural Bioinformatics & Drug Discovery) Description Senior Computational Chemist Develops and applies advanced computational methods for drug design; expertise in molecular modelling and simulation.
High industry demand.
Bioinformatician (Drug Discovery) Analyzes large biological datasets; identifies drug targets and develops predictive models for drug efficacy and safety.
Strong structural bioinformatics skills crucial.
Lead Structural Biologist Leads research projects focusing on protein structure and its implications for drug design.
Guides a team in solving complex structural problems.
Computational Biologist Applies computational techniques to understand biological processes related to drug action and disease mechanisms.
Strong programming skills a must.
Medicinal Chemist (In Silico) Designs and optimizes drug molecules using computational methods.
Works closely with experimental chemists.
Excellent understanding of structural bioinformatics required.
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- ThreeFourHoursPerWeek
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