Target Identification to Experimental Validation: The Computational Drug Design Workflow

🔬 From Target Identification to Experimental Validation: The Computational Drug Design Workflow
The drug discovery process is no longer limited to traditional laboratory experiments.
This infographic provides an overview of the key stages involved in Computational Drug Design, including:
✅ Disease & Target Identification
✅ Protein Structure Collection & Preparation
✅ Ligand Selection & Preparation
✅ Active Site Identification
✅ Molecular Docking
✅ Protein–Ligand Interaction Analysis
✅ ADMET Prediction
✅ Molecular Dynamics Simulation
✅ Trajectory Analysis
✅ Binding Free Energy Calculation
✅ Lead Optimization
✅ Experimental Validation
By integrating techniques such as molecular docking, molecular dynamics simulations, and binding free energy calculations, researchers can gain valuable insights into protein–ligand interactions before moving to experimental studies.
As someone exploring the field of computational biology and drug discovery, I find it fascinating how bioinformatics, structural biology, and computational chemistry come together to support the development of future therapeutics.

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