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Dedicated Design of
Compound Library for
Fragment-based Drug Discovery
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Dedicated Design of Compound Library for FBDD
• Specially designed and synthesized for FBDD
• High novelty of chemical structures
diversity analysis to eMolecules and most common vendors databases
• Diversification of the Library includes:
Linear fingerprint, pharmacophore and 3D analysis
• High Quality of the molecules: rigorous Phys-Chem parameters,
PAINS & in-house developed structure filters
• Rapid SAR generation potential
Short term molecules selection and synthesis for follow-up testing analogues
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1,139 Building Blocks
carefully selected novel Fsp3-enriched molecules
+
1,246 Decorating reagents
pharmacologically privileged and selected by Phys-Chem parameters
structures
463,000 compounds
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Dedicated Design of Compound Library for FBDD
1st Step. Virtual coupling
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2nd Step.
“Rule of three”-like restrictions:
• 150 < MW < 300
• –2 < ClogP < 3
• HDon ≤ 3
• HAcc ≤ 4
• RotB ≤ 3
Other requirements
• TPSA ≤ 70 Å2
• clogSw > –3
• Heavy atoms (HAC) ≤ 20
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Dedicated Design of Compound Library for FBDD
• PAINS & in-house developed filters for
undesired and reactive functionalities
• At least one ring in structure; no more than
two fused aromatic rings
• No more than one S, Cl, Br; no more than
three F
• Min one additional atom N, O apart from the
main functional group
• No N-arylsulfonamides, no tetrazoles, no
more than 5% of compounds with isolated
benzene ring
Phys-Chem parameters Structural filtering parameters
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3rd Step. Novelty verification
98 % Tanimoto diversity to eMolecules database
62,000 compounds
98 % diversity to Major Competitors Fragment Databases
90 % diversity to Life Chemicals Stock Collection
Dedicated Design of Compound Library for FBDD
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4th Step. Complex diversity approach
Tanimoto
diversity
selection 87 %
3D Shape analysis
Pharmacophore
diversity
analysis
Complexity
optimization
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Dedicated Design of Compound Library for FBDD
62,000 compounds
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Chemotype control
Possibility of evolution (ideally 2 points)
5th Step. Final set formation
Advanced Set of Tangible Fragments
5,202 compounds
• Synthetic considerations
• Scaffold population analysis
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Dedicated Design of Compound Library for FBDD
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Phys-Chem properties analysis
0
5
10
15
20
25
0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1
mean Fsp3= 0.58
Maybridge
Ro3 set:
mean Fsp3 = 0.30
% of the cpds
0
5
10
15
10 11 12 13 14 15 16 17 18 19 20
Fsp3
% of the cpds mean HAC = 16.5
HAC
Dedicated Design of Compound Library for FBDD
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0
10
20
30
150 200 250 300
% of the cpds mean MW = 232
MW 0
10
20
30
40
50
0 1 2 3 4HAcc
mean HAcc = 2.9 % of the cpds
0
20
40
60
80
0 1 2 3
% of the cpds
mean HDon = 0.3
HDon 0
10
20
30
30 40 50 60 70
% of the cpds
TPSA
mean TPSA = 39 A2 o
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Phys-Chem properties analysis
Dedicated Design of Compound Library for FBDD
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0
20
40
60
-2 -1 0 1 2 3
0
10
20
30
40
50
0 1 2 3
0
5
10
15
20
25
-3 -2,5 -2 -1,5 -1 -0,5 0 0,5 1
mean LogSw = –1.5 % of the cpds
LogSw
% of the cpds mean RotB = 2.0
RotB 0
20
40
60
80
0 1 2 3 4 5
% of the cpds
Ring Count
mean RingCount = 2.5
mean LogP = 1.1 % of the cpds
LogP
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Phys-Chem properties analysis
Dedicated Design of Compound Library for FBDD
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Examples of Building Blocks
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Dedicated Design of Compound Library for FBDD
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Examples of Building Blocks
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Dedicated Design of Compound Library for FBDD
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Examples of Reagents
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Dedicated Design of Compound Library for FBDD
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Examples of Fragments
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Dedicated Design of Compound Library for FBDD
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Dedicated Design of Compound Library for FBDD
Examples of already synthesized Fragments over 800 compounds, 100mg+ in stock
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References 1. Boyd S. M., de Kloe G. E. Fragment library design: efficiently hunting drugs in chemical space. Drug
Discovery Today: Technologies 2010, 7, 173–180.
2. Collins I., Jones A. M. Diversity-oriented synthetic strategies applied to cancer chemical biology and
drug discovery. Molecules,2014, 19, 17221–17255.
3. Langdon S. R., Brown N., Blagg J. Scaffold diversity of exemplified medicinal chemistry space. J.
Chem. Inf. Model. 2011, 51, 2174–2185.
4. Joseph-McCarthy D., Campbell A. J., Kern G., Moustakas D. Fragment-based lead discovery and
design. J. Chem. Inf. Model., 2014, 54, 693−704.
5. Koutsoukas A., Paricharak S., Galloway W. R. J. D. et. al. How diverse are diversity assessment
methods? A comparative analysis and benchmarking of molecular descriptor space. J. Chem. Inf. Model.
2014, 54, 230−242.
6. Morley A. D., Pugliese A., Birchall K. et al. Fragment-based hit identification: thinking in 3D. Drug
Discovery Today, 2013, 18, 23–24, 1221–1227.
7. Boyd S. M., Turnbull A. P. , Walse B. Fragment library design considerations. Comput. Mol. Sci., 2012,
2, 868–885.
8. Schulz M. N., Landström J., Bright K., Hubbard R. E. Design of a fragment library that maximally
represents available chemical space. J. Comput. Aided Mol. Des., 2011, 25, 611–620.
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Dedicated Design of Compound Library for FBDD
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Thank You for Your Kind Attention !
Life Chemicals