IN SILICO DRUG DESIGN TECHNIQUES 1...(QSAR) •Comparative molecular field analysis (CoMFA)...

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Transcript of IN SILICO DRUG DESIGN TECHNIQUES 1...(QSAR) •Comparative molecular field analysis (CoMFA)...

Page 1: IN SILICO DRUG DESIGN TECHNIQUES 1...(QSAR) •Comparative molecular field analysis (CoMFA) •Comparative molecular similarity indices analysis (CoMSIA) •3D pharmacophore mapping
Page 2: IN SILICO DRUG DESIGN TECHNIQUES 1...(QSAR) •Comparative molecular field analysis (CoMFA) •Comparative molecular similarity indices analysis (CoMSIA) •3D pharmacophore mapping
Page 3: IN SILICO DRUG DESIGN TECHNIQUES 1...(QSAR) •Comparative molecular field analysis (CoMFA) •Comparative molecular similarity indices analysis (CoMSIA) •3D pharmacophore mapping

IN SILICO : is a term that means “computer aided”.

DRUG DESIGN : Referred to as rational drug design

or simply rational design is the inventive process

of finding new medications based on theof finding new medications based on the

knowledge of a biological targets.

RATIONAL DESIGN : is the strategy of creating new

molecules with a certain functionality, based

upon the ability to predict how the molecule's

structure will affect its behavior through physical

models.

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• IN SILICO DRUG DESIGN : means rational

design by which drugs are designed /

discovered by using computational methods.

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Two types

• Structure based drug designing

• Ligand based drug designing

• Structure based drug designing :Receptor• Structure based drug designing :Receptor

known, don’t know ligands.

• Ligand based drug designing : don’t know

receptor, known ligands.

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• Homology modeling

• Molecular docking (Interaction networks)

• Quantitative structure activity relationship

(QSAR)(QSAR)

• Comparative molecular field analysis (CoMFA)

• Comparative molecular similarity indices

analysis (CoMSIA)

• 3D pharmacophore mapping

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• Homology modeling is used to predict

the 3D-structure of a unknown protein

based on the known structure of a

similar protein.similar protein.

• The known structure is called the

template.

• The unknown structure is called the

target.

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Homology modeling of the target structure can be done in 7 steps

• Template recognition and initial alignment

• Alignment correction• Alignment correction

• Backbone generation

• Loop modeling

• Side-chain modeling

• Model optimization

• Model validation

Page 9: IN SILICO DRUG DESIGN TECHNIQUES 1...(QSAR) •Comparative molecular field analysis (CoMFA) •Comparative molecular similarity indices analysis (CoMSIA) •3D pharmacophore mapping

• In this step we compare the sequence of theunknown structure with all the knownstructures stored in the Protein Data Bank(PDB).

• The search can be performed using simplesequence alignment program such asBLAST(Basic Local Alignment Search Tool) andFASTA as the percentage identity between thetarget sequence and a possible templates.

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• In practice the target-sequence is sent to a

BLAST server, which searches the PDB to

obtain a list of possible templates and their

alignments.alignments.

• Subsequently the best hit has to be chosen.

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• Sometimes it may be difficult to align two

sequences in a region where the percentage

sequence identity is very low. One can then

use other sequences from homologoususe other sequences from homologous

proteins to find a solution.

• Example :

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• Backbone generation : When the alignment iscorrect, the backbone of the target can becreated.

• The coordinates of the template-backbone• The coordinates of the template-backboneare copied to the target.

• Loop modeling : In the majority of cases, thealignment between target and templatesequence contains gaps.

• These gaps are molded by this method.

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• Side-chain modeling : in this method addside-chains to the backbone of the target.

• Model optimization : Energy minimizationprocedure on the entire model, by adjustingprocedure on the entire model, by adjustingthe relative position of atom so that overallconformation of the molecule has the lowestpossible energy potential.

• The goal is to relieve steric collision withoutaltering the overall structure.

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• Every model contains errors.

• The model should be checked for bumps and

if the bond angles, torsion angles and bond

lengths are within normal ranges.lengths are within normal ranges.

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• Quantitative structure-activity

relationships (QSAR) methods are based

on the assumption that the structure of a

molecule (geometric, steric andmolecule (geometric, steric and

electronic parameter ) must contain the

features responsible for its physical ,

chemical and biological properties.

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• Docking is an attempt to find the bestmatching between two molecules.

• Docking is a method which predicts thepreferred orientation of one Ligand whenbound in an active side to form a stablebound in an active side to form a stablecomplex.

• Molecular docking is a method to predictsthe preferred orientation of one molecule toa second when bound to form a stablecomplex with overall minimum energy.

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• Molecular docking denotes Ligand

binding to its receptor or target protein.

• Molecular docking is used to recognize

and optimize drug candidates byand optimize drug candidates by

examining and modeling molecular

interactions between Ligand and target

macromolecules.

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TARGET SELECTION LIGAND SELECTION

TARGET PREPARATION LIGAND PREPARATION

DOCKING

EVALUATING DOCKING RESULT

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• There are several molecular docking tools

available that includes ArgusDock, DOCK,

FRED, eHITS, AutoDock and FTDock.

• Also used to generate multiple Ligand• Also used to generate multiple Ligand

conformations and orientations.

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• Comparative molecular field analysis (CoMFA)

is a constructive novel technique to explain

structure activity relationship.

• It is a well-known 3D QSAR method .• It is a well-known 3D QSAR method .

• The aim of COMFA is to deliver a correlation

between the biological activity of set of

molecules and there 3D shapes, electrostatic

and hydrogen bonding.

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• CoMSIA is recognized as one of the new 3D QSAR

approaches.

• It is generally used in the drug discovery process

to locate the common characteristics, essentialto locate the common characteristics, essential

for the proper biological receptor binding.

• This method deals with the steric and

electrostatic characteristics, hydrogen bond

acceptors, hydrogen bond donor and

hydrophobic fields.

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• The 3D pharmacophore search is an

imperative, vigorous and simple method to

quickly recognize lead compounds

alongside a preferred target.

• A pharmacophore is defined as the specific• A pharmacophore is defined as the specific

3D arrangement of functional groups within

a molecular framework that are

indispensable to attach to an active site of

an enzyme or bind to a macromolecule.

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• Structural Bioinformatics, Edited by Philip E.

Bourne and Helge Weissig.(pdf)

• Wikipedia

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