MATCHING ALGORITHM(MC)
based on molecular shape map a ligand
                                                             DOCK, FLOG , LIBDOCK use MC for ligand
              into an active site of a protein in terms of
                                                                            matching
              shape features and chemical information.
                    Incremental construction (IC)
                 put the ligand into an active site in a
              fragmental and incremental fashion. The
               ligand is divided into several fragments
                                                              DOCK 4.0, SLIDE USE THIS TECHNIQUE
              by breaking its rotatable bonds and then
                 one of these ragments is selected to
                    dock into the active site first.
ALGORTITHMS
                 Multiple Copy Simultaneous Search
                            (MCSS) and
              It makes fragment based approach for de
                       nova design of ligands.
                                LUDI
                 focuses on the hydrogen bonds and
                hydrophobic contacts which could be
                                                                                                      AUTODOCK EARLEIER VERSION, QXP AND
              formed between the ligand and protein.
                                                                                                        AFFINITY use Monte carlo technique
                                                                          Monte Carlo
                      STOCHASTIC METHOD
                                                                                                        generate poses of the ligand through
                Search the conformational space by                                                     bond rotation,rigid-body translation or
                   randomly modifying a ligand                                                        rotation. The conformation obtained by
              conformation or a population of ligands.                                                  this transformation is tested with an
                                                                     GENETIC ALGORITHM                  energy- based selection criterion. If it
                                                                                                      passes the criterion, it will be saved and
                                                                                                         further modified to generate next
                                                                                                                    conformation.
  Genetic algorithm
   One of stochastic methods
   stems from Darwin’s theory of evolution.
   Degrees of freedom of the ligand are encoded as binary
   strings called genes.
   These genes make up the ‘chromosome’ which actually
   represents the pose of the ligand.
   Mutation and crossover are two kinds of genetic operators
   in GA.
   Mutation makes random changes to the genes;
   crossover exchanges genes between two chromosomes.
   When the genetic operators affect the genes, the result is
   a new ligand structure.
   New structures will be assessed by scoring function,
    Genetic algorithms have been used in AutoDock , GOLD
   and DARWIN
Scoring:
    Scoring functions involve estimating the binding affinity between the protein and ligand and through these functions, adopting various assumptions
     and simplifications.
    It separates the correct poses from incorrect poses, or binders from inactive compounds in a reasonable computation time.
    3 types of scoring functions: Scoring functions can be divided in force-field-based, empirical and knowledge-based scoring functions
          o FF based scoring functions involves the calculation of binding energy by different non-covalent interactions. Softwares like Autodock use
             this kind of scoring function
          o Empirical involves different component for energy like hydrogen bonding, etc.,
          o Knowledge based scoring function: Based on statistical data analysis.
DOCKING PROCEDURES:
Manual docking
    Molecular modelling can be used to dock, or fi t, a molecule into a model of its binding site.
    If the binding groups on the ligand and the binding site are known, they can be defined by the operator such that each binding group in the ligand
     is paired with its complementary group in the binding site.
    The ideal bonding distance for each potential interaction is then defined and the docking procedure is started.
    The program then moves the molecule around within the binding site to try and get the best fi t as defined by the operator
Automatic docking
    Softwares that automatically dock ligands into a binding site with the minimum of input from an operator.
    an important application of automatic docking programs is to carry out virtual screening of hundreds of different molecules with the aim of
     identifying new lead compounds that will interact with the target
    The simplest approach to automatic docking is to treat the ligand and the macromolecular target as rigid bodies. Th is is acceptable if the active
     conformation of the ligand is known or if the ligand is a rigid cyclic structure.
Rigid docking by shape complementarity
    docking procedure is carried out purely in terms of steric complementarity
    If the binding mode is acceptable, an optimization process is carried out which ‘fine tunes’ the position of the ligand in the binding site.
 This minimizes unfavourable steric interactions and optimizes intermolecular interactions between the ligand and the binding site.
 The binding energy of the ligand is now measured and a score is given for that binding mode.