11. Docking Flashcards
Reasons for docking
- find molecule that exhibit a certain effect on target
- explain a proteins function by finding the native ligand
Prerequisite for docking
Target structure
- target structure
- active site structure
Chemical database
Druglikeness - Lipinski’s Rule of 5
No more than one!
• No more than 5 hydrogen bond donors (the total number of nitrogen–hydrogen and oxygen–
hydrogen bonds)
• Not more than 10 hydrogen bond acceptors (all nitrogen or oxygen atoms)
• A molecular mass less than 500 daltons
• An octanol-water partition coefficient[5] log P not greater than 5
• Divided into two parts
- Search algorithm
* Scoring algorithm
• Commonly used models include
- Rigid body docking (mostly early docking algorithms and now only in protein protein docking)
- Fixed receptor – flexible ligand
• Grid potential based representation of protein- flexible ligand
– Most common today
• Fragment based methods
• De novo design methods
– Build molecules inside active site, more for later stages of projects
Preparation of protein
• Assign borders of active site • Purple box
• Select starting point for ligands
• Red spheres
• Calculate potential maps for
active site
• The potential maps allow for a certain overlap of ligand and receptor and thus allows for some flexibility
• Protein is set for docking
Protein – Protein Docking
• Protein-protein interactions play a central role in various aspects of the structural and functional organization of the cell
• Structures of complex are not always easily determined
• Paradox of Protein – protein docking
• Higher number of participating subunits grants a higher probability to predict the overall complex
structure
Methodology prot-prot
• Commonly based on rigid body shape complementary supplemented by electrostatic calculations
Prot-prot
• A development is the
Fast Fourier transformation algorithms that are becoming more common in newly developed software
Docking enhanced with experimental data
• HADDOCK (High Ambiguity Driven protein–protein DOCKing)
• use of biochemical and/or biophysical interaction data such as
– chemical shift perturbation data resulting from NMR titration experiments
– mutagenesis data