38

Applications of computational chemistry in drug designing

Embed Size (px)

Citation preview

Page 1: Applications of computational chemistry in drug designing
Page 2: Applications of computational chemistry in drug designing
Page 3: Applications of computational chemistry in drug designing

As per WHO:

“It is a natural or synthetic substance

which (when taken into the living body)

affects its functioning.”

Page 4: Applications of computational chemistry in drug designing

DRUG

Treatment Purpose

Preventive Purpose

Diagnostic Purpose

Page 5: Applications of computational chemistry in drug designing

“An inventive process of finding new

medications based on knowledge of

biological target.”

Page 6: Applications of computational chemistry in drug designing

STAGE 1 Drug

Discovery

STAGE 2 Pre Clinical Developme

nt

STAGE 3 Clinical

Development

STAGE 4 Regulatory Approval

A new DRUG

is formed

Phase 1 : Safety in human

Phase 2 : Effectiveness in treating disease

Phase 3 : larger scale safety and effectiveness

Phase 4 : long-term safety

Page 7: Applications of computational chemistry in drug designing

It relies on knowledge

of other molecules that

binds to the biological

target of interest.

It is used to derive a

pharmacophore.

It relies on the

knowledge of three

dimensional structure

of the biological target

obtained through

following techniques:

X-ray Crystallography

NMR spectroscopy

Homology Modelling

LIGAND BASED DRUG DESIGNING

STRUCTURE-BASED DRUG

DESIGNING

Page 8: Applications of computational chemistry in drug designing

SIZE:

Organic Small molecules

SHAPE:

Complimentary to the target receptor

CHARGE:

Opposite to the target receptor

Page 9: Applications of computational chemistry in drug designing
Page 10: Applications of computational chemistry in drug designing

It represents

computational

methods and

resources that

are used to

facilitate the

design and

discovery of

new

therapeutics.

Page 11: Applications of computational chemistry in drug designing

Elimination of compounds with

undesirable effects

Identify and optimize new

drugs

Page 12: Applications of computational chemistry in drug designing
Page 13: Applications of computational chemistry in drug designing

Screening for new drugs

• To screen large number of synthetic chemical compounds or natural products for desire effects

Modification for improvements

• To make changes in lead structure or its intermediate

Mechanism based drug

design

• When disease is understood at molecular level and target molecule are defined, drug designed specifically to interact with target molecule to disrupt diseases

Page 14: Applications of computational chemistry in drug designing
Page 15: Applications of computational chemistry in drug designing

There are various technique of drug

design like:

QSAR

DOCKING

X-RAY CRYSTALLOGRAPHY

NMR

HOMOLOGY MODELING

Page 16: Applications of computational chemistry in drug designing

“Docking is a method which predicts the preferred

orientation of one molecule to a second when

bound to each other to form a stable complex.”

Software's are:

Dock

Auto Dock

Molecular Operating Environment

Visualization Of Dock Complex

Page 17: Applications of computational chemistry in drug designing
Page 18: Applications of computational chemistry in drug designing
Page 19: Applications of computational chemistry in drug designing
Page 20: Applications of computational chemistry in drug designing

• determine the biochemical basis of the disease process.

• physiological pathway (the exact steps in the pathway that are altered in the diseased state).

• Knowledge about the regulation of the pathway

Selection of disease

• knowledge of the molecular basis of the disease is important in order to select a target at which to disrupt the process.

Target Selection

• Enzyme as a target

• Receptor as a target

• Nucleic acid as a target

Page 21: Applications of computational chemistry in drug designing

Selection of ligands/drugs, Docking

like DOCK, AutoDock and Molecular Operating Environment (MOE), Visualization of docking complex

Determination of active site of target protein

Only a small part of a lead compounds may be involved in the appropriate interaction. i.e. a pharmacophore.

Structure determination

Crystal structure of target protein can be taken from PDB database

Page 22: Applications of computational chemistry in drug designing
Page 23: Applications of computational chemistry in drug designing

HIV-1 Protease Inactivation Non-

infectious viral particles

Protease represents an essential proper virion

assembly and maturation.

Such drug has been developed through transition-state

mimetics and structure-based synthetic strategies.

Page 24: Applications of computational chemistry in drug designing

A bulky, decahydro-isoquinolin-3-carbonyl (DIQ) group

Hydroxylethylamine transition state moiety

Pentapeptide Derivative

Page 25: Applications of computational chemistry in drug designing

By the crystallographic study, it was revealed that;

Carbonyl group of DIQ moiety is ableto form a hydrogen bond with thewater molecule

Resulting in the development of anti-HIV protease drug (Saquinavir) Inhibits viral replication

Page 26: Applications of computational chemistry in drug designing

Chemical and biological information about ligands and/or targets to identify and optimize new drugs

Design of conformationally restricted cyclopeptides for the inhibition of cholate uptake of hepatocytes

Use of computing power to drug discovery and development process

Approaches to antiviral drug design.

Conformation biological activity relationships

Role of computer-aided molecular modeling in the design of novel inhibitors of rennin. Inhibitors of dihydrofolate reductase

Undesirable properties (poor activity and/or poor absorption, distribution, metabolism, excretion and toxicity, ADMET) and select the

most promising candidates.

Page 27: Applications of computational chemistry in drug designing
Page 28: Applications of computational chemistry in drug designing
Page 29: Applications of computational chemistry in drug designing

In the case of benzylsuccinic acid, the amino functionality is

replaced by an iso steric methylene group. Using

benzylsuccinic acid as a model compound, it was

hypothesized that amino acids could also behave as

byproduct inhibitors of ACE.

Page 30: Applications of computational chemistry in drug designing
Page 31: Applications of computational chemistry in drug designing

Researchers developed inhibitors of factor

Xa serine protease, an important target in the blood

coagulation cascade

Amidine-containing compounds have antithrombotic activity

but poor oral bioavailabilty, because of the presence of the

basic benzamidine moiety, which is known to hinder

absorption from the

gastrointestinal tract.

Replacing the benzamidine moiety with an uncharged indole,

exhibiting Ki= 0.005 micronmeter and good oral

pharmacokinetic properties

(LY-517717) is currently under phase II clinical development for

the prevention of venous thromboembolism

Page 32: Applications of computational chemistry in drug designing
Page 33: Applications of computational chemistry in drug designing

Cyclin-dependent kinase-2 (CDK2) is a member of protein kinase family.

Role in regulating various events of eukaryotic cell division cycle.

Over expression of CDK2 causes the abnormal regulation of cell-cycle, which is directly associated with hyper-proliferation in cancer cells.

CDK2 is regarded as a potentially therapeutic target for cancer therapy.

Page 34: Applications of computational chemistry in drug designing

Knowledge of

crystallography

and availability

of X-ray crystal

structure of

CDK2 have

enabled us to

understand the

mode of CDK2

inhibition, which

facilitated the

development of

numerous

CDK2

inhibitors.

Roscovitine

(Seleciclib, CYC202)

SNS-032

(BMS-387032)

Dinaciclib

(SCH727965)Alvocidib

Page 35: Applications of computational chemistry in drug designing

The antigen α4β1 plays an important role in the migration of white blood cells to sites of inflammation.

It has been implicated in the pathology of various diseases like asthma, multiple sclerosis & rheumatoid arthritis.

Page 36: Applications of computational chemistry in drug designing

Scientists described a series of potent inhibitors of α4β1

that were discovered using computational screening.

The most potent compound was evaluated in a sheep

model of asthma, and a 30 mg nebulized dose was able to

inhibit early and late airway responses in allergic sheep

following antigen challenge and prevented the

development of nonspecific airway hyper-responsiveness

to Carbachol.

Page 37: Applications of computational chemistry in drug designing

The process of drug discovery and development is a long and difficult

one, and the costs of developing are increasing rapidly. Mechanism-based drug design tackles medical problems directly. It provides an opportunity to

discover entirely new lead compounds not possible using other techniques for

drug development

Page 38: Applications of computational chemistry in drug designing