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MOLECULAR
DOCKING
AMITY INSTITUTE OF PHARMACY
Submitted By:
Aashu Vijay
M.Pharm PC 2nd Sem
INDINAVIR
INTRODUCTION
Formation of a stable complex due to the prediction of orientation or posing of one
molecule to another (with minimal energy) so that they will bind together to give desired
effect i.e. prediction of protein-ligand activities. Or prediction of ligand conformation and
Posing within target binding site.
AMITY INSTITUTE OF PHARMACY
SAQUINAVIR
PROTEIN-PROTEIN DOCKING PROTEIN-SMALL MOLECULE DOCKING
AMITY INSTITUTE OF PHARMACY
TYPES OF DOCKING
AMITY INSTITUTE OF PHARMACY
FLEXIBLE DOCKING
AMITY INSTITUTE OF PHARMACY
A) View of P-gp from above (i.e. viewed from the luminal face, perpendicular to the membrane plane) of the top-scored
saquinavir pose (yellow) from the primary round of the flexible receptor docking. Phe71, Phe332, and Phe728 were mutated
to Ala in the 1st Glide docking stage. The final positions of the three residues and Phe974 are shown in pink, while those of
the original crystal structure are in green. B) Top-scored poses from second round of flexible receptor docking (red), Glide
XP = −17.8 kcal/mol compared to top the pose from rigid docking (blue), Glide XP = −10.0 kcal/mol for saquinavir.
AMITY INSTITUTE OF PHARMACY
FLEXIBLE Vs RIGID DOCKING
INDUCED-FIT DOCKING
AMITY INSTITUTE OF PHARMACY
MECHANISM
AMITY INSTITUTE OF PHARMACY
MECHANICS OF DOCKING
To derive 3D structure
AMITY INSTITUTE OF PHARMACY
SCORING FUNCTION- Aim to describe and quantify the association.
AMITY INSTITUTE OF PHARMACY
Force-Field-Based Empirical Knowledge-Based
DOCK AutoDock SMoG
AutoDock GlideScore DrugScore
GoldScore ChemScore PMF_Score
LigandFit X_Score MotifScore
ICM F_Score RF_Score
SYBYL_G-Score LUDI PESD_SVM
Molegro Virtual Docker LigScore PoseScore
SYBYL_D-Score SFCscore
MedusaScore PLP
Example of pose docking selection using crossing information between ligand volume overlap and fingerprint
interaction between the ligand in the cocrystallized suvorexant, represented in surface and poses of suvorexant
redocked using Glide. (A) Graphic representation of crossing information between Jaccard similarity scores of
interaction fingerprint and ShaEP scores, normalized on the distribution, between each pose and the reference co-
crystalized ligand. The rank of poses based on GlideScore is also indicated. (B) Representation of the poses ranked
AMITY INSTITUTE OF PHARMACY
DOCKING ALGORITHMS
AMITY INSTITUTE OF PHARMACY
EXAMPLE
AMITY INSTITUTE OF PHARMACY
Sno
.
Name of the
docking tool
Licence Pose Generation method Scoring function
1. Auto Dock Free Lamarckian Genetic algorithm
(LGA)
Empirical+Knowledge based
2. Swiss Dock Free Evolutionary optimization
(genetic algorithm+evolution
strategy)
Molecular mechanics Force
Field
3. GOLD Commercial Genetic algorithm Chemscore (emperical)
4. DOCK Free Shape matching (Geometric
algorithm)
Force fields
5. FlexX Commercial Shape matching (geometric
algorithm)
FlexX SF (empirical)
6. ICM Commercial Monte carlo (Energy based) PMF (Potential mean force)
(empirical)
APPLICATIONS
1. Direct conception- exploring a protein cavity with several moieties.
AMITY INSTITUTE OF PHARMACY
AMITY INSTITUTE OF PHARMACY
VIRTUAL
SCREENING
Ranking
Ligand
database
Molecular
Docking
2. Virtual Screening
3. Hit Identification
4. Lead Optimization
THANK YOU !!
AMITY INSTITUTE OF PHARMACY

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Molecular docking

  • 1. MOLECULAR DOCKING AMITY INSTITUTE OF PHARMACY Submitted By: Aashu Vijay M.Pharm PC 2nd Sem INDINAVIR
  • 2. INTRODUCTION Formation of a stable complex due to the prediction of orientation or posing of one molecule to another (with minimal energy) so that they will bind together to give desired effect i.e. prediction of protein-ligand activities. Or prediction of ligand conformation and Posing within target binding site. AMITY INSTITUTE OF PHARMACY SAQUINAVIR
  • 3. PROTEIN-PROTEIN DOCKING PROTEIN-SMALL MOLECULE DOCKING AMITY INSTITUTE OF PHARMACY
  • 4. TYPES OF DOCKING AMITY INSTITUTE OF PHARMACY
  • 6. A) View of P-gp from above (i.e. viewed from the luminal face, perpendicular to the membrane plane) of the top-scored saquinavir pose (yellow) from the primary round of the flexible receptor docking. Phe71, Phe332, and Phe728 were mutated to Ala in the 1st Glide docking stage. The final positions of the three residues and Phe974 are shown in pink, while those of the original crystal structure are in green. B) Top-scored poses from second round of flexible receptor docking (red), Glide XP = −17.8 kcal/mol compared to top the pose from rigid docking (blue), Glide XP = −10.0 kcal/mol for saquinavir. AMITY INSTITUTE OF PHARMACY FLEXIBLE Vs RIGID DOCKING
  • 9. MECHANICS OF DOCKING To derive 3D structure AMITY INSTITUTE OF PHARMACY
  • 10. SCORING FUNCTION- Aim to describe and quantify the association. AMITY INSTITUTE OF PHARMACY Force-Field-Based Empirical Knowledge-Based DOCK AutoDock SMoG AutoDock GlideScore DrugScore GoldScore ChemScore PMF_Score LigandFit X_Score MotifScore ICM F_Score RF_Score SYBYL_G-Score LUDI PESD_SVM Molegro Virtual Docker LigScore PoseScore SYBYL_D-Score SFCscore MedusaScore PLP
  • 11. Example of pose docking selection using crossing information between ligand volume overlap and fingerprint interaction between the ligand in the cocrystallized suvorexant, represented in surface and poses of suvorexant redocked using Glide. (A) Graphic representation of crossing information between Jaccard similarity scores of interaction fingerprint and ShaEP scores, normalized on the distribution, between each pose and the reference co- crystalized ligand. The rank of poses based on GlideScore is also indicated. (B) Representation of the poses ranked AMITY INSTITUTE OF PHARMACY
  • 13. EXAMPLE AMITY INSTITUTE OF PHARMACY Sno . Name of the docking tool Licence Pose Generation method Scoring function 1. Auto Dock Free Lamarckian Genetic algorithm (LGA) Empirical+Knowledge based 2. Swiss Dock Free Evolutionary optimization (genetic algorithm+evolution strategy) Molecular mechanics Force Field 3. GOLD Commercial Genetic algorithm Chemscore (emperical) 4. DOCK Free Shape matching (Geometric algorithm) Force fields 5. FlexX Commercial Shape matching (geometric algorithm) FlexX SF (empirical) 6. ICM Commercial Monte carlo (Energy based) PMF (Potential mean force) (empirical)
  • 14. APPLICATIONS 1. Direct conception- exploring a protein cavity with several moieties. AMITY INSTITUTE OF PHARMACY
  • 15. AMITY INSTITUTE OF PHARMACY VIRTUAL SCREENING Ranking Ligand database Molecular Docking 2. Virtual Screening 3. Hit Identification 4. Lead Optimization
  • 16. THANK YOU !! AMITY INSTITUTE OF PHARMACY