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Od architektury do topologii chemii
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
Wisła 2010
Jarosław PolańskiInstitute of Chemistry University of Silesia [email protected]
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Chemistry paradox
(...) the most fundamental and lasting objective of
(chemical) synthesis is not a production of new
compounds but the production of properties.
Kolb, H.C.; Finn, M.G.; Sharpless, K.B. Angew. Chem. Int. Ed. 2001, 40, 2004 – 2021
Hammond
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Structure -property
� A lack of obvious relation P ??? f(S)
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Thus, molecular design needsexploratory mathematics
propertycompounds
(Q)SARfrom molecules to property
congeneric
P = f(S)
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But …
Every attempt to employ mathematical methods inthe study of chemical questions must be considered profoundly irrational and contrary to the spirit of chemistry.
If mathematical analysis should ever hold animportant place in chemistry (…) it wouldoccasion a swift and general degeneration of thatscience.
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
Current Medicinal Chemistry, 2009, 16, 4297-4313
Auguste Compte 1798-1857
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(Al)chemia
� Molekuła (jej transformacje);całe wieki trudne do bezpośredniej obserwacji i zrozumienia (często opis fenomenologiczy)
� Fizyka eksperymentalna;duże obiekty dostępne obserwacji (cz. elementarne - możliwy precyzyjny opis)
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Physics-Chemistry-Biology
� Mathematics– formal language for thedescription of nature (from ancient times)
� Physics– Galileo, Newton
Isaac Newton 1643-1727Galileo Galilei (1564-1642)
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
wikipedia
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Physics-Chemistry-Biology
� Chemistry = ch. compounds /molecules
Antoine Lavoisier 1743-1794 John Dalton 1766-1844 Jöns Berzelius 1779-1848
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
wikipedia
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Physics-Chemistry-Biology
� Molecular biology – chemistryof living systems
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
James Dewey Watson Francis Crick 1916-2004 Craig Venterwikipedia
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Physics-Chemistry-Biology
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
well ordered informal structure
still to be …
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Chemical space CS
� chemical space CS
� virtual chemicalspace
� factual chemicalspace
� In vitro or in silicochemical operations= mappingmolecules in CS
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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CS studyneeds in silico mathematics
� CS (?) between 1018 and10200; 1060 (being citedmost often)
� FCS 50 mlnca. 106
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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In silico mathematics
� Computer science (informatics)
…the science of algorithmic processing, representation, storage and transmission of information
Hromkovic, Theoretical Computer Science: Introduction to Automata, Computability, Complexity, Algorithmics Randomization, Communication and Cryptography, Springer: Berlin, 2003
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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In silico mathematics
� enormous speed and competence in low-level manipulations instead ofhuman intuition
�this allowed to solve “formerly intractable problemsand explore areas beyond the reach of human calculation”
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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Teaching computers chemistry…. is not easy
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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Computers are not brilliantstudents
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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Intuition (human) + computer= real efficiency
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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Molecule vs. chemicalcompound
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
graphics: wikipedia
m1m1m1m1m1
m2m2m2m2m2
chemical compound
a mixture of chemical compounds
a single molecule
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Descriptors vs. properties
� descriptors (S) – can be calculated invirtual operations [mainly molecules]
� properties (P) – can only be measuredby experimental approaches [mainlychemical compounds]
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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Synteza = odwzorowanie reagent – produkt (in silico; in vitro)
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
different targets
m1m2m3
mi
k1k2k3
ki
molecularoperation
r-reaction domain
Polanski, Chemoinformatics w: Comprehensive Chemometrics, Elsevier 2009
different reagent molecules
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Molecule - still a mess
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
Nazwa systematyczna
• IUPAC: kwas 2-hydroksybenzoesowy
• SLN: OHC[1]:CH:CH:CH:CH:C(:@1)C(=O)OH
• SMILES: Oc1ccccc1C(=O)O
OOH
OH
cycloheksatrien but hydroxybenzoic acid
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SMILES coding by ASCII
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
Br
(a) CC1=CC(Br)CCC1
(b) CC1=CC(CCC1)Br
C1 CC
1
CCC
C
Br
(a)
(b)
simplified molecularinput line entry system
SMILES coding molecules and chemical reaction by ASCII.
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Architektura chemii – badanie baz związków chemicznych
Grzybowski et al., Angew. Chem. Int. Ed. 44, 7263 –7269 (2005);Grzybowski et al., Nature Chemistry 1, 31 - 36 (2009)
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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Graf reakcji chemicznych
176 compounds
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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Graf reakcji chemicznych
876 compounds
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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Chemia
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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K = compounds/reactions
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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Architektura chemii
Grzybowski et al., Nature Chemistry 1, 31 - 36 (2009)
rozkład oczek sieci o określonej liczbie kin oraz kout w kolejnych latach
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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Preferential attachment
Grzybowski et al., Nature Chemistry 1, 31 - 36 (2009)
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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Rozkład masy związków oryginalny oraz po przeskalowaniu
Średnia masa rośnie od 200 (1850) do 350 (2004)
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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Masy kin i kout
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Global mapping of pharmacological space
Drugpolypharmacologyhas inspired efforts to predict and characterizedrug-targetassociations
Target 1
Target 2
Target 3
Drug 2
Drug 1
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
Keiser MJ, et al., Nature 2009; 462:175-81
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Discovered off-targetsnetwork
� Bipartite network wheredrugs (gold) are linked by grey edges to their knowntargets (violet) and by red arrows to their discoveredoff-targets (cyan).
� Node sizes increase withnumber of incident edges.
Nature 2009; 462:175-81
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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Results
Nature 2009; 462:175-81
23 new drug-target associations were confirmed
5 of which were potent (<100nM)
30 were testedexperimentally
new off-target for 878 purchasable FDA-approved small-molecule drugs and 2787 pharmaceutical
compounds
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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Wnioski
� Lepszy opis FCS pozwala na lepsząchemię (CS: VCS);
� konieczne nowe metody badania i opisu od intuicyjnej architektury do matematycznej topologii
� miejsce dla matematyki
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Architektura leków - problemy
� Projektowanie nowych właściwościParadoks: związki nie są interesujące, interesują nas właściwości
� Np. leki / nie_leki [zbiory; przestrzenie; otocznia; granice; etc]
� Uprzywilejowane struktury leków
� Polifarmakologia (uprzywilejowane układy lek-cel działania leku)
� …..
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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leki vs. nie_leki – RO5
� Lek- nie więcej niż 5 HBD- nie więcej niż 10 HBA- masa poniżej 500 Daltonów- wsp. P (podział woda-oktanol) poniżej 5
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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Leki – „Rule of five”
Grzybowski et al., Angew. Chem. Int. Ed. 2005, 44, 7263 –7269 ;
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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Privilegedstructures
Fattori, D. D. Molecular Recognition: The Fragment Approach in Lead Generation. Drug Discov. Today 2004, 9, 229–238.
DatabaseComprehensive Medicinal Chemistry
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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Drug architecture
Richard B. Silverman, The organic chemistry of drug design and drug action, Elsevier, 2004
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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Global mapping of pharmacological space
Drugpolypharmacologyhas inspired efforts to predict and characterizedrug-targetassociations
Target 1
Target 2
Target 3
Drug 2
Drug 1
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
Keiser MJ, et al., Nature 2009; 462:175-81
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Polypharmacology
Consequences of polypharmacology
side effects efficacy
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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Relationships between proteins in chemical space
� Humanpolypharmacologyinteraction network
� Two proteins are deemed interacting(joined by an edge) if both bind one or more compoundwithin a defined difference in binding energy threshold
� Nodes are colored by gene family
Paolini GV,et al., Nat. Biotechnol. 2006; 24:805-15
Organic Chemistry Katowice chemoinformatyka.us.edu.pl
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How to predict drugpolypharmacology ?
� A collection of 3665 FDA-approved and investigational drugstructures was computationally screened against a panel of morethan 1400 protein targets. The drug collection was extracted fromthe MDL Comprehensive Medicinal Chemistry database. Each target was represent solely by its set of known ligands, which wereextracted from three sources: the MDL Drug Data Report, theWOMBAT, and the StARlite databases. The two-dimensionalstructural similarity of each drug to each target’s ligand set was quantified as an E-value using the SEA.
� SEA, similarity ensemble approachcompares targets by the similarity of the ligands that bind to them, expressed as expectations values (E-values), adaptingthe BLAST algorithm.
Michael J. Keiser et al., Nature 2009; 462:175-81
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Discovered off-targetsnetwork
� Bipartite network wheredrugs (gold) are linked by grey edges to their knowntargets (violet) and by red arrows to their discoveredoff-targets (cyan).
� Node sizes increase withnumber of incident edges.
Nature 2009; 462:175-81
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Results
Nature 2009; 462:175-81
23 new drug-target associations were confirmed
5 of which were potent (<100nM)
30 were testedexperimentally
new off-target for 878 purchasable FDA-approved small-molecule drugs and 2787 pharmaceutical
compounds
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antiprotozoic
drugs
antituberculotic
agents
Quinoline
� Quinoline scaffold can be found in many classes of biologically activecompounds used as � antifungals� antibacterials� antiprotozoic drugs � antituberculotic agents
� Some quinoline analogues showed also antineoplasticsactivity
� Quinine molecule - Nature preference for the system?
quinine
antibacterials
antifungals
N
antineoplastics
activity
Polanski, J., et al., Quinoline-Based Antifungals, Curr. Med. Chem., 2010, 1960-1973
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Small molecule databases
ChemBank
PubChem
Chemical Entities of Biological Interest
CrossFire BeilsteinPhysicoPhysico--chemicalchemicalpropertiesproperties
DrugBank
TheWOrld of Molecular BioActivitiesdatabase (WOMBAT)
The National Cancer Institute database
The Derwent World Drug Index (WDI)
MDL Drug Data Report (MDDR)
The Comprehensive Medical Chemistry
MedicinalMedicinal agentsagents
The Available Chemical Directory (ACD)
General General databasesdatabases
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Database mining
� DrugBank is a uniquebioinformaticsand cheminformaticsresource
� detailed drugdata and drugtarget information
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Quinoline scaffold – a privilegedstructure for drug discovery
The structures and data were extracted from DrugBank database
N
O
OH
O
O
O
N
NH
NH
NH
NH2
N
Cl SOH
O
OH
N
N
NN
NH2
F
FFFF
F
OHNH
N
OH
O
N
N
Quinine
(4)
Imiquimod
(1)
Mefloquine
(1)
Saquinavir
(7)
Montelukast
(2)
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The Molecular and StructuralBioinformatics Database
The MoStBioDat platform is an integrated software system for storing data in a unified format with an ensemble of tools for data manipulation.
Application� data management platform
� substructure search
Advantages� possibility of being installed locally with a pretty
simple database driven by the Python package installation procedure
� fully integrated data at a scientific level for data mining
� investigation of the large ligand and receptor data
MoStBioDat
molecular data from
various sources
database mining
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Mostbiodat
www.chemoinformatyka.us.edu.pl
A. Bak, J. Polanski, T. Stockner, A. Kurczyk, MoStBioDat – Molecular and Structural BioinformaticsDatabase, Comb. Chem. High Throughput Screen., 13, 2010, pp. 366-374; Molecules, 14(9), 3436-3445, 2009
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Quinoline vs. isoquinoline
325,58Parameter q/i
115391Isoquinoline (i)
3285857Quinoline (q)
DrugBank
[hits]
CrossFireBeilstein
[hits]
Fragment
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Synthetic availability vs. drug population
N
1
N
2
NN
3
N
N
4
N
N
7
N N
8
N N
9
N
N
10
N
N
11
N N
12
N
N
5
N
N
6
Beilstein database
0
10000
20000
30000
40000
50000
60000
70000
80000
90000
1 2 3 4 5 6 7 8 9 10 11 12
molecule ID
hit
s
DrugBank database
0
10
20
30
40
50
60
70
80
1 2 3 4 5 6 7 8 9 10 11 12
molecule ID
hit
s
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Conclusions
� Lepszy opis FCS pozwala projektowaćlepszą chemię (CS: VCS);
� konieczne nowe metody badania i opisu od intuicyjnej architektury do matematycznej topologii
� miejsce dla matematyki
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