Unit 2 Flashcards
What are Natural Products?
Compounds produced by organisms that provide them with an evolutionary advantage (protect them from attacks, predators, etc.)
Where do we find natural products?
- can be isolated from any organism
- usually plants, fungi, bacteria, and marine organisms
- explore ecosystems
- natural products from defensive symbiosis
Why natural products over synthetic drugs?
- usually common in nature
- complex structures that are difficult to replicate and have unique properties
- interact with specific targets
- very diverse
Natural Product Discovery (4)
Extraction
Fraction
Bioassay screening
Bioactive Natural Products
Requirements for Field Collection
- Easily collected
- Get them back
- Easily stored
- Can be grown in lab
Biopiracy
The stealing of biodiversity or indigenous knowledge (take back to your own country and make money from it)
Difficulties Obtaining Natural Products
- Need a lot
- Lots of wasted solvents and chromatography
Chromatography/Isolation
- stationary phase (solid, can be liquid)
- mobile phase - solvents or buffers (liquid, can be gas)
- scale
-dry
Testing for bioactivity
- must be easily tested
- specific targets
- phenotype
- scale
Structure Elucidation
- solve structure by NMR or X-ray crystallization
- can use mass spectrometry, UV, IR
X-ray Crystallography
describes where electron density is located by scattering x-rays and interactions with electrons
- must be a crystallized product
Infrared Spectroscopy measures
functional groups and bond flexibility
Mass Spectrometry measures
molecular weight and molecular formula
Ultraviolet Spectroscopy measures
bond conjugation and aromaticity
Genomics
DNA sequencing and bioinformatics have allowed the mapping and annotation of organism genomes and BGCs
Metabolomics
use of large LC-MS/MS data sets gas allowed comparative analyses of produced compounds across organisms
Updated Central Dogma
DNA - predict genes that eventually produce final product
RNA
Protein - enzymes used to make the natural products
Natural Product
Biosynthetic Gene Clusters (BGCs)
groups of genes that encode the enzymes that synthesize compounds like antibiotics
- many are not always expressed (“silent”)
Discovering Antibiotics from Genomes
Bacteria BGCs are studied in silico on the computer - bioinformatics
Bioinformatics to Predict Function
- Enzymes have reaction specificity and are encoded in the genome
- Similar enzymes will have similar reaction specificities and encode similar genes
- used to predict function of other enzymes
Bioinformatics to Predict Structures
BGCs are used to predict function and using bioinformatics online in databases, the structure can be predicted
Liquid Chromatography Mass Spectrometry (LC-MS) or Mass Spectrometry (MS)
- use databases
- use intrinsic properties that won’t change in experimental conditions
- LC-MS/MS based fragmentation patterns work well
Natural Product Classification
- used to be by chemical class (plant natural products still are)
- now by biosynthetic pathway
- natural products built using smaller organic products used for identification
Organic molecules used to build natural products (6)
- acetates
- sugars
- amino acids
- isoprene
- shikimate
- lipid
Ribosomally Encoded and Post-Translationally Modified Peptides (RiPPs)
- peptide natural products
- sequence found in genome
- found in plants and fungi
- proteases free the sequence from a larger one
Non-ribosomal Peptides
- production encoded by non-ribosomal peptide synthetases (NRPS)
- often contain non-proteinogenic amino acids
- can hybridize with polyketide natural products
Polyketides
- production encoded by polyketide synthetases (PKS)
- modular enzyme structure (AT, KS, T, TE, KR, DH, ER)
- ketide units usually obvious or reduced to alcohols, or -enes
Terpenes
- composed of isoprene units (5 carbon structure)
alkaloids
- basic nitrogen containing compound (nitrogens)
- bitter
- bioactive
- many known toxins are alkaloids
Lead Compound
a compound that has the desired effect on a drug target and is the starting point for designing a new drug
Chemical Synthesis of Drugs
- use molecule with know drug target
- modify to increase potency, efficacy, and bioavailability
Arylomycin
- natural product originally isolated from an actinobacteria off the coast of Nigeria
- inhibits signal peptidase in gram + bacteria and not gram -
Drug Leads
- natural products
- natural ligands
- enzyme substrates (kinases)
Biological Screening
Testing tens of thousands of drugs to determine what can bind to desired target using natural product libraries and synthetic chemical libraries
Natural Product Libraries
can use purified compounds or natural product extracts - usually more diverse library
Synthetic Chemical Libraries
Many Pharma companies have the same massive synthetic libraries that they screen for drug leads
High Throughput Screening
- usually done robotically
- used to test on a target and see what hits
- does not tell pharmacokinetics
What do we want out of our drugs?
- Interact with target (potency, efficacy, and selectivity)
- Reach target (selectivity and bioavailability)
Bioavailability
proportion of the drug that enters circulation and can therefore have an effect on the target
Importance of hydrophobicity and hydrophilicity…
- too hydrophobic - the drug won’t enter the blood stream to enter circulation (need to bind to serum proteins)
- too hydrophilic - the drug won’t cross membranes or interact well with targets (has more H-bonds)
Lipinski’s Rule of 5
Predict the oral bioavailability of the drug
1. No more than 5 H-bond donors (NH or OH)
2. No more than 10 H-bond acceptors (N or O)
3. Molecular Weight less than 500 Da (must be small)
4. LogP less than 5 (tells hydrophobicity)
Why use a smaller compound?
if too big, it is less likely to passively diffuse across membranes
- bigger usually means less soluble
- bigger = harder to synthesize
LogP
how hydrophobic is the compound
>1 hydrophobic
<1 hydrophilic
Exceptions to Lipinski’s rule of 5
~mostly just guidelines~
many natural products break these rules but in general these rules assume passive diffusion and determine bioavailability
Privileged Structures
- can break Lipinski’s rules
- can be capable of binding to many targets
- often aromatic rings with side chains
Toxicophoric Groups
- groups that cause toxicity
- include overly electrophilic groups, metal chelating groups, metabolized into electrophilic groups
False Positive in Screening
- compounds that aggregate on drug targets without binding specifically (no specificity)
PAINS compound
Pan-Assay Interference Compounds
- quinones, catechols, enones, curcumin
Fragment Based Screening - De Novo Synthesis
- looks for several small molecules that bind and then links them
- use NMR or X-ray Crystallography to identify fragments that bind to target
Virtual Screening
Use computers, interactions between targets and digital libraries can be modeled
- complex computational tools
Targets Computed
- Protein Data Bank
- crystallized structures
- computed structures using software
Digital Compounds
- line structure can be produced by digital libraries
Computational High Throughput Screening
Software used to match 3D compound shapes into protein active sites
Pharmacophore
- Active Center of a Drug
- most important interactions between drug and target
Modify and Optimize the compound
- add functional groups
- remove functional groups
- open rings
- close rings
If modifications result in lower potency…
- most of the molecule is the pharmacophore (important)
Add groups to…
optimize pharmacokinetics and stabilization of pharmacophore
Why modify?
- change potency
- change selectivity
- change activity
- can make it easier to make
Structure-Activity Relationships (SAR)
structure is directly related to activity