Docking is a computational method that predicts the preferred orientation of one molecule to another when bound to form a stable complex. It involves searching high-dimensional spaces to find the best matching between two molecules, such as a protein and ligand. Successful docking methods effectively search these spaces and use scoring functions to correctly rank candidate dockings in order to identify the correct ligand binding position and predict binding affinity.
2. Introduction
Docking is an attempt to find the best matching
between two molecules.
A more serious definition.
Docking is a method which predicts the preferred
orientation of one ligand when bound in an active site to
form a stable complex.
Finding the correct relative orientation of the key
which will open up the lock.
The protein can be thought of as the lock and the
ligand can be thought of as a key.
6. Types of Docking
Rigid Docking (Lock and Key)
In rigid docking, the internal geometry of both the
receptor and ligand are treated as rigid.
Flexible Docking (Induced fit)
An enumeration on the rotations of one of the
molecules (usually smaller one) is performed. Every
rotation the energy is calculated; later the most
optimum pose is selected.
7. Docking can be between.
Protein Ligand
Protein Protein
Protein Nucleotide
8. Requirements
Protein (Enzyme, peptide)
Ligand (Drug, novel compound, testing compound,
organic compound)
Docking Software (Autodock)
Result analysis
11. SANJEEVINI IIT Delhi
GOLD University of Cambridge ,UK
AUTODOCK - Scripps Research Institute,USA
GemDock(Generic Evolutionary Method for Molecular Docking) A tool,
developed by Jinn-Moon Yang, a professor of the Institute of Bioinformatics,
National Chiao Tung University, Taiwan
Hex Protein Docking - University of Aberdeen, UK
GRAMM (Global Range Molecular Matching) Protein docking - A
Center for Bioinformatics, University of Kansas, USA
Docking Software
12. Limitations(Pharmacophore & Docking)
The major limitation in virtual screening by
pharmacophore is the absence of good scoring
metrics.
Whereas docking simulations are based on scoring
functions trying to predict the affinity, and similarity
searches utilize similarity metrics.
Pharmacophore queries do not have a reliable,
general scoring metric.
Most commonly, the quality of fitting the ligand into a
pharmacophore query is expressed by the root mean square
deviation between the features of the query and atoms of
the molecule.
13. Application
Pharmacophore approaches are successful subfields
of computer-aided drug design (CADD) which have
become one of the major tools
hit identification
lead optimization
rational design of novel drugs.
Virtual screening (hit identification)
Drug Discovery (lead optimization)
Bioremediation