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Summary Receptor based drug design and computational models

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Drug design and mechanisms of drug action - 1st semester Includes bullet points, key diagrams and images

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  • June 8, 2023
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  • 2019/2020
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Receptor Based Drug Design and Computational Models

X-Ray Crystallography

 Enzymes easier to work with than receptors
 Solid state technique
 Highly purified macromolecules are dehydrated to form crystals 0.05-0.5 mm
long
 X-rays diffract and are detected
 Position and intensity of diffraction allows the 3D structure of the protein to be
compared to the data base (PDB)

Biological NMR

 Using N 15 and C 13
 2D technique
 Shifts show binding interactions
 Solution state technique

Docking

 Predicts the preferred orientation of a ligand when bound to a protein
 Crystal structure taken from database and potential ligands added
 Protein structure ideally comes from XRC than NMR
 Rapid screening

De-Novo Design

 Series of linked moieties (molecules divided up in sections)
 Each moiety interacts at a given site
 Take crystal structure with ligand bound
 Identify main binding interactions and shape of binding site
 Then remove the ligand from crystal structure
 Identify structural motifs that could bind
 Calculate distance between these and add core molecule

Fragment Based Ligand Design

 Weak molecules with many minor interactions
 Don’t fit in the receptor well
 Use NMR and XRC
 Optimise initial fragment to bind to adjacent regions of receptor

Fragment Linking

 Take many different fragments
 Assess efficacy at high concentrations to receptor
 Identify 2 compounds that bind at different sites but close enough to bridge
 Produce large high affinity compounds



Fragment Self Assembly

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