explain the drug discovery process
(takes 10-15 years)
1. identify POI which is related to a medical need i.e. emergence of certain disease, antibiotic resistance etc.
2. understand POI’s relevant mechanism (deduce from structure, information of active site by X-ray/ NMR/ cryoEM)
3. The information will be used in the selected screening method to identify “hits” or compounds that result in inhibition of the POI activity
4. Select a lead compound from the “hits” (most effective) which can be used in the drug development stage (optimization using medicinal chemistry, analog synthesis, animal testing)
what are the 3 possible screening methods
explain High Throughput Screening (HTS)
what are the disadvantages of HTS
explain Virtual Screening/ In silico drug screening
what is CADD
how is the method of CADD chosen
what methods are used for both unknown POI & ligand information
outline LBDD
outline SBDD
describe the prominent steps in SBDD and LBDD approaches
what are the libraries used in virtual screening
Combinatorial library design = library of ligands constructed based on known structure of POI and compounds that mimic its substrate/ inhibitor = higher success rate because scaffolds can already bind POI
Non-combinatorial library = bought database (files) of compounds
describe LBDD (when its used, why is it important)
describe similarity searching (LBDD)
what is the measure of similarity based on (LBDD)
explain 2D fingerprinting (2D properties) (LBDD)
explain hashed fingerprinting (2D properties) (LBDD)
what is the problem with hashed fingerprinting
Bit collision = the same bit can equate to multiple patterns (generate false positive)
* A few bit collisions in the fingerprint are ok, but too many may result in losing information in the fingerprint
what happens once the 2D/hashed fingerprints are defined (LBDD)
generate: Similarity (Tanimoto/ Jaccard) coefficient
* define % similarity according to the bit strings for each compound in the library
T(a, b) = Nc / (Na + Nb - Nc)
a = bits in reference structure
b= bits in database structure
c = bits in common in ref and database
explain scaffold hopping (3D properties) (LBDD)
what is the principle of 3D fingerprinting (3D properties) (LBDD)
*like in 2D, once 3D library search is done, must score & rank obtained hits to narrow down the compounds selected for further experiments in the wet lab
explain the 3D fingerprinting process (LBDD)
explain the flexibility of parameters in 3D fingerprinting
explain 3D shape search (LBDD)
-Molecules can be dissimilar in 2D but similar in 3D or vice-versa
-Due to diff. rotations around bonds & etc., must decide how the screening is conducted