Module 6 Computer Aided Drug design & Preformulation studies Flashcards

1
Q

The inventive process of finding new medications based on the knowledge of a biological target.

A

Drug Design

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2
Q

It involves the design of molecules that are complementary in shape and charge to the biomolecular target with which they interact and therefore will bind to it.

A

Drug Design

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3
Q

LIFE CYCLE OF DRUG DESIGN:
Traditional Life Cycle

A

Ist step: Synthetic Or natural product
2nd step: Preclinical trials
3rd step: Clinical trials
Drug

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4
Q

LIFE CYCLE OF DRUG DESIGN:
Modern Drug Design

A

Ist step: Target Selection
2nd step: Lead Identification
3rd step: Lead Optimization
Drug

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5
Q

DRUG DESIGNING:
Selected/ design molecules should be:

A

•Organic small molecule
•Complementary in shape to the target
•Oppositely charge to the biomolecular target

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6
Q

DRUG DESIGNING…
This molecule will:

A

•Interact with the target
•Bind to the target
•Activates or inhibit the function of a biomolecule such as protein

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7
Q

DRUG DESIGNING:
Drug designing frequently but not necessarily relies on computer modelling techniques.
This type of modelling is sometimes referred to as computer aided design.

A

N/A

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8
Q

Drug discovery approaches:

A

In Vitro
1. Biochemical estimation
2. Toxicity asay
3. Assays on drug susceptibility
4. Effects on biofilm

In Vivo
1. Bioavailability
2. Toxicity
3. ADME
4. Pharmacodynamics
5. Pharmacokinetics

In Silico
1. Computer-aided drug discovery
2. Molecular docking
3. Molecular modeling
4. Virtual screening
5. Quantitative structure–activity relationship (QSAR)

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9
Q

The term ‘____’ is a modern word usually used to mean experimentation performed by computer and is related to the more commonly known biological terms in vivo and in vitro.
Process, identification of the suitable drug target is the first and foremost task.
These targets are biomolecules which mainly include DNA, RNA and proteins (such as receptors, transporters, enzymes and ion channels).

A

in silico

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10
Q

uses computational approaches to discover, develop, and analyze drugs and similar biologically active molecules.

A

COMPUTER-AIDED DRUG DESIGN (CADD)

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11
Q

Computer-aided drug discovery
Characteristic features of CADD:

A

Virtual screening
Energy calculations
ADME models
Drug interactions

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12
Q

2 CATEGORIES OF “IN SILICO” BASED DRUG DESIGN:

A

Ligand-based drug design
Structure-based drug design

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13
Q

The basic objective of these methods is to predict the nature and strength of binding of given molecule to a target.

A

Ligand-based drug design

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14
Q

Involves the analysis of ligands known to interact with a target of interest.
These methods use a set of reference structures collected from compounds known to interact with the target of interest and analyze their 2D or 3D structures.
This is an indirect approach where analysis is totally dependent on information of other molecules that attach to the target compound of interest.

A

Ligand-based drug design

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15
Q

These other molecules may be used to develop a pharmacophore model that delineates the minimum needed structural characteristics a molecule must hold in order to bind to the target successfully.
Precisely a model of the biological target may be constructed on the facts of what binds to it.
This knowledge could be further implemented to design new molecular entities that interact with the target.

A

Ligand-based drug design

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16
Q

This is relatively a direct approach which is based on the knowledge of the three-dimensional structure of the biological target obtained through methods such as X-ray, crystallography, or NMR spectroscopy which are mainly the starting point for gathering information in the field of drug discovery and development

A

Structure-based drug design

17
Q

In case of unavailability of the target structure, prediction using a related protein’s experimental structure is carried out by generating a homology model of the target.
Based on this data drug that seems to be exhibiting high affinity for the target is selected and further computational trials are employed to suggest new drug candidates.

A

Structure-based drug design

18
Q

It works with the basic understanding of structure prediction of intermolecular complex formed between drug and its target molecule.
It gives other important information like extent and specificity of interaction, binding and transformation energies.

A

MOLECULAR DOCKING

19
Q

is a pharmacologically important tool in the field of drug designing and computational biology

A

Docking

20
Q

A method of comparing and analyzing molecular structures, 3D structure-based properties, and their interactions.
Primary applicability of this technique generates data on receptor ligand interaction, protein-protein interactions, 3D structure prediction, and based on this predicting biological function of related compounds.

A

MOLECULAR MODELING

21
Q

The key methodology applied in drug discovery studies for the identification of new hits.
Receptor structure based as well as non receptor based methods could be employed to design ligand

A

VIRTUAL SCREENING

22
Q

establishes a relation between predictor and response variables by applying graphical and mathematical models.
For prediction and evaluation of compound binding modes mathematical relationships between structural attributes and target properties of a set of chemicals are studied

A

Quantitative structured activity relationship (QSAR)

23
Q

is a group of studies that focus on the physicochemical properties of a new drug candidate that could affect the drug performance and the development of a dosage form.
This could provide important information for formulation design or support the need for molecular modification.

A

Preformulation studies

24
Q

The overall objective of pre formulation testing is to generate information useful to the formulator in developing stable and bioavailable dosage forms which can be mass-produced

A

N/A

25
Q

Before starting the preformulation studies, we should know the:

A

•Properties of the drug.
•Potency relative to the competitive products and the dosage form.
•Literature search providing stability and decay data
•Proposed route of drug administration.
•Literature search regarding the formulation approaches.
•Bioavailability
•Pharmacokinetics of chemically related drugs.

26
Q

Other requirements for preliminary studies:

A
  1. Preliminary investigations
  2. Molecular optimization by the drug
  3. A molecular modification should be done (if a deficiency is detected).
27
Q

To overcome this deficiency molecular modification is done be salts, prodrugs, solvates, polymorphs or even new analogues.
The dissolution rate of a salt form of a drug is generally quite different from that of the parent compound.

A

N/A

28
Q

Physicochemical parameters:

A

Organoleptic properties
Bulk characterization studies
Solubility analysis
Stability analysis

29
Q

Organoleptic properties:

A

individual experience via the senses—including taste, sight, smell, and touch.
It refers to the methods of analysis like colour, odour, taste, size, shape and special features, such as touch, texture, etc.

30
Q

Bulk characterization studies:

A

Bulk characterization studies:
a) Crystallinity and polymorphism
b) Hygroscopicity
c) Fine particle characterization
d) Bulk density
e) Powder flow properties
f) Compression properties
g) Physical description

31
Q

Solubility analysis:

A

a) Intrinsic solubility determination
b) PKa determination
c) Partition coefficient
d) Dissolution studies
e)Common ion effect

32
Q

Stability analysis:

A

a) In toxicology formulations
b) Solution stability
c) Solid state stability

33
Q

EVALUATION PARAMETERS USED IN PREFORMULATION OF DRUG DEVELOPMENT:

A
  1. Stability, Solid State, Solution - Temperature, Light, humidity Solvent, Ph
  2. Solid State Compatibility - TLC and DRS Analysis
  3. Physico-chemical Properties Color, odor, particle size, shape crystallinity - Molecular Structure and Weight, melting point
  4. •Thermal Analysis Profile - DTA DSC,TGA
    •Water and other solvent, pH - Salt forms, co-solvent, Complexation, pro-drug
  5. Absorbance Spectra - UV, IR
  6. Other properties Hygroscopicity - Potential Bulk characterization Volatility, optical activity, solvate formation Crystallinity and polymorphism.
  7. Physico-mechanical Properties Bulk and - Tapped density, compressibility Photomicrograph
  8. In Vitro Availability Properties, Rat Everted Gut Technique - Dissolution and analysis of Drug Crystal pallets
  9. Other Studies Plasma Protein Binding, lonization Constant - Effect of Compatible Excipients on dissolution Kinetic Studies of Solution Degradation, Use of Radiolabeled Drug