Redecke Flashcards

1
Q

The Definition of a Drug

A

A Drug is any substance that, when injected, inhaled,smoked, consumed, absorbed via a patch on the skin, or dissolved under the tongue, causes a physiological change in the body.

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2
Q

What kind of bioaktivem molecules can be considered as drugs?

A
  • small molecules
  • peptides
  • peptidomimetics
  • protein
  • oligonucleotides
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3
Q

Gleevac

A

Chronic myeloid leukaemia (CML)
Inhibitor of ATP binding site of bcr-abl tyrosine kinase
Philadelphia chromosome

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4
Q

Lipitor

A

Cardiovascular disease
Statin (lipid lowering agent)
HMG-coA reductase inhibitor
Bestselling drug sofar

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5
Q

Taxol

A

Pacific yew tree bark extract
Ovarian and breast cancer
Stabilises microtubuli
Cell culture production

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6
Q

Viagra

A

Hypertension/ erectile dysfunction
inhibition of cGMP specific phosphodiesterase
lifestyle drug

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7
Q

Harvoni

A

Hepatitis C virus infection
Combination of Ledipasvir and Sofosbuvir
NS5A and NS5B inhibitors

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8
Q

-mabs

A

monoclonal antibodies eg. Adalimumab, Infliximab (immune suppressor TNF-a)
autoimmune disorders

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9
Q

Paul Ehrlich

A

-conceived many of the key elements of modern drug discovery
-salvarsan 1. cure for syphilisis
-from organic dyes to first discovered resistance rugs
recognition of chemicals for therapy - targeted chemotherapy
used synthetic chemistry to make derivates with different activities
recognized that metabolism could modify chemicals internally - active metabolite concept (pro drug)

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10
Q

Prontosil

A

Azo dye that becomes wold first broad-spectrum anti-biotic

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11
Q

What is rational drug design?

A

Rational (mechanism-based) drug discovery first identifies a key molecular target (drug-receptor) that is important in the disease process

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12
Q

How do molecules act that are interesting for rational drug discovery?

A
  • Block BINDING of endogenous ligand
  • Inhibit ACTIVITY of the target
  • Alter EXPRESSION of the target
  • Alter INTERACTION of the target with other molecules
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13
Q

Name the steps of rational drug discovery

A
  1. Disease selection
  2. Target identification
  3. Lead compound identification
  4. lead compound optimization
  5. Pre-clinical trials
  6. Clinical trials
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14
Q

Name characteristics of a good target

A

A good target..
-is efficacious and save
-meets clinical and commercial needs
-is druggable (accessible to putative drug molecules)
-has specific binding sites
-may change its biomolecular structure upon small molecule binding
-induces a physiological response by structure change on cell, organ or body level
-phsycological responses have therapeutic effect on pathological conditions
BUT
-drug targets are also involved in physiological processes
-complicated diseases - many different drug targets in a disease
-drug targets can change
drug might have more then one target

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15
Q

Target identification methods

A
  • Data mining: Use of bioinformatics and databases (genomics, transcriptomics, proteomics, structures, literature, etc.)
  • Structural genomics: sequence-structure homology recognition (fold recognition)
  • Cell or animal models: studying the disease (tumor cell line, diabetic mice..)
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16
Q

Target validation

A

-> verifying the role in the disease
-defining the role of the target in the disease
-identifying patient populations susceptible to intervention using the target
-performing experiments in a cellular system to confirm that regulation of the target or downstream effects have the expected effect
=> Target validation confirms that interactions with the target produce the desired change in the behaviour of diseased cells

17
Q

Assay development

A

Screening = Filtration of active molecules against a target from a huge library

  • enable characterization of novel compounds and obtain the potency of these compounds against the target in question
  • robot-assisted HTS
18
Q

Strategy lead discovery/ optimization:

Pros and cons of High-throughput screening (HTS)

A
\+ 
no structural info needed
robot-assisted
libraries of compounds
-
enormous chemical space
false positive hits
expensive
19
Q

Strategy lead discovery/ optimization:

Pros and cons of virtual screening

A
\+
structure-guided optimization
low costs
fragment libraries
-
computational capacity
adequate scoring factor
based on predicted interactions
20
Q

Strategy lead discovery/ optimization:

Pros and cons of Structure based drug discovery (SBDD)

A
\+
structure-based optimization
fragment libraries
no false positive
low binding affinities
-
requires crystal of protein complex
high-throughput screening?
expensive