1
Molecular modelling
Introduction
Abhijeet Kadam
TSEC
BioTechnology
2
Pre Bioinformatics Era
● Take a lead molecule
● Develop a chemical program
● Find analog molecules exibiting desired biological
properties
● Hope to find a molecule of use by 'chance observation or
'random screening'
● This involved trial & error method
● In-vitro + In Vivo
● Expensive
● Ineffecient
Yet we have so many drugs available today.
3
Pre Bioinformatics Era
● Fischer (1894) & Ehrlich (1609) introduces the
concept of 'Lock & Key' model
● 1970's – X-ray crystallography developed
● Hence the 3D structures of molecules
● And advancements in Drug Design
4
Concept of MM
● New molecules conceived on basis of similarity
with known reference structure
or
● On basis of the comlementarity of 3D structure
of Known molecules
5
Concept of MM
● Molecular interactions are fixed
● Hence, MM is a discipline that contributes to the
understanding of these processes in qualitative
and quantative manner.
● Computerized techniques – based on chemistry
methods and expt. Data
● Used to analyze – molecules and moleculars
systems
or
● to predict molecules and biological properties
6
1st
Generation of Rational Approach
in DD
● Rational DD – based on concept that biological
properties of molecules are related to their structural
features
● In 1970's – 2D structures were considered to be final.
● Then came QSAR – quantative str-activity relationship
● This became famous
● Got implemented in computers
●
Which gave us 1st
Gen CADD
● By Hansch and group (fujita, 1990)
7
● Based on –
➔ Mathametical equations
➔ expressing biological activity
➔ in terms of molecular parameters
➔ Such as log p (partition coefficient)
➔ Es (Steric constant)
➔ MR (Molar refractivity) etc...
● But this proved helpful only for optimization based
on 2D formula and fixed 2D frame
8
2nd
Generation : Molecular Modelling
A) Conceptual Frame
B) Fields covered
9
Conceptual Frame
● Uses DD concept of lock and key. It works.
● Here imagination and intution is very important
● You have to imagine or visualize a molecular structure
● Molecular modelling
– Small molecules
● MM of sets of small molecules
– Macromolecules
● Ligand-receptor fir analysis
● Direct + Indirect
– Molecule design confirming requirements
10
Fields Covered
1) Direct DD –
Expt.proven date (X-ray str.)
2) Indirect DD –
Stereochemical and physciochemical features
lead designed by pharmacophore
3) Database searches –
search online wrt pharmacophore
4) 3D – CADD –
generated by computers (macheine learning)
5) Molecular Mimicry –
mimics of known reference compound

2.molecular modelling intro

  • 1.
  • 2.
    2 Pre Bioinformatics Era ●Take a lead molecule ● Develop a chemical program ● Find analog molecules exibiting desired biological properties ● Hope to find a molecule of use by 'chance observation or 'random screening' ● This involved trial & error method ● In-vitro + In Vivo ● Expensive ● Ineffecient Yet we have so many drugs available today.
  • 3.
    3 Pre Bioinformatics Era ●Fischer (1894) & Ehrlich (1609) introduces the concept of 'Lock & Key' model ● 1970's – X-ray crystallography developed ● Hence the 3D structures of molecules ● And advancements in Drug Design
  • 4.
    4 Concept of MM ●New molecules conceived on basis of similarity with known reference structure or ● On basis of the comlementarity of 3D structure of Known molecules
  • 5.
    5 Concept of MM ●Molecular interactions are fixed ● Hence, MM is a discipline that contributes to the understanding of these processes in qualitative and quantative manner. ● Computerized techniques – based on chemistry methods and expt. Data ● Used to analyze – molecules and moleculars systems or ● to predict molecules and biological properties
  • 6.
    6 1st Generation of RationalApproach in DD ● Rational DD – based on concept that biological properties of molecules are related to their structural features ● In 1970's – 2D structures were considered to be final. ● Then came QSAR – quantative str-activity relationship ● This became famous ● Got implemented in computers ● Which gave us 1st Gen CADD ● By Hansch and group (fujita, 1990)
  • 7.
    7 ● Based on– ➔ Mathametical equations ➔ expressing biological activity ➔ in terms of molecular parameters ➔ Such as log p (partition coefficient) ➔ Es (Steric constant) ➔ MR (Molar refractivity) etc... ● But this proved helpful only for optimization based on 2D formula and fixed 2D frame
  • 8.
    8 2nd Generation : MolecularModelling A) Conceptual Frame B) Fields covered
  • 9.
    9 Conceptual Frame ● UsesDD concept of lock and key. It works. ● Here imagination and intution is very important ● You have to imagine or visualize a molecular structure ● Molecular modelling – Small molecules ● MM of sets of small molecules – Macromolecules ● Ligand-receptor fir analysis ● Direct + Indirect – Molecule design confirming requirements
  • 10.
    10 Fields Covered 1) DirectDD – Expt.proven date (X-ray str.) 2) Indirect DD – Stereochemical and physciochemical features lead designed by pharmacophore 3) Database searches – search online wrt pharmacophore 4) 3D – CADD – generated by computers (macheine learning) 5) Molecular Mimicry – mimics of known reference compound