
Solid-Phase Synthesis and Combinatorial Technologies
.pdf

434 |
|
|
|
APPLICATIONS OF SYNTHETIC LIBRARIES |
|
|
|
|
|
|
|
||||||||||||
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
M1 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
32 acetophenones |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
O |
|
|
|
|
|
|
|
|
|
|
|
|
|
||||
R1 |
|
|
|
|
R1 = H, 2'-Me, 3'-Me, 4'-Me, 4'-Et, 4'-nBu, 4'-tBu, 4'-Chex, 2'-OMe, 3'-OMe, 4'-OMe, |
||||||||||||||||||
|
|
|
|||||||||||||||||||||
|
|
|
|
4'-OEt, 2'-CF3, 4'-Cl, 4'-morpholino, 4'-piperidino. |
|
|
|
|
|
|
|||||||||||||
|
|
|
|
|
|
O |
|
|
|
|
|
|
|
|
|
|
|
|
|
||||
|
|
R1 |
|
|
|
|
R1 = 3',4'-diMe; 3',4'-diOMe; 2',4'-diOMe; 2',5'-diOMe; 2',6'-diOMe; 3',5'-diOMe; |
||||||||||||||||
|
|
|
|
|
|||||||||||||||||||
R1 |
|
|
|
|
|||||||||||||||||||
|
|
|
|
2'-F,6-CF3; 2'-F,4'-OMe. |
|
|
|
|
|
|
|
|
|||||||||||
|
|
|
|
|
|
|
O |
|
|
|
|
|
|
|
|
|
|
O |
|||||
|
|
|
R1 |
|
|
|
R1 |
|
|
|
|
|
|
|
|
|
|
||||||
|
|
|
|
|
|
|
|
|
|
|
|
|
|
O |
|
|
|||||||
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|||||||||
R1 |
|
|
|
|
|
|
R |
= H, X = O; R = 5'-Me, X = O; |
|
|
|
||||||||||||
|
|
|
|
X |
|
|
|
(n) |
|
|
|
|
|||||||||||
|
|
|
|
|
|
|
|
|
|
1 |
|
|
1 |
|
|
|
|
||||||
|
|
|
|
|
|
R1 |
O |
R1 |
= H, X = NMe; R1 = 3'-Me, X = S. |
O |
|||||||||||||
|
|
|
|
|
|
|
|
|
|
|
|
||||||||||||
R1 = 2',3',4'-triOMe; |
|
|
|
|
|
|
|
|
n = 1,2 |
||||||||||||||
|
|
|
|
2',4',6'-triOMe. |
|
|
|
|
|
|
|
|
|
|
|
|
|
||||||
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
M2 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
40 benzaldehydes |
|
|
|
|
|
|
|
|||
|
|
|
|
|
|
CHO |
|
|
|
|
|
|
|
|
|
|
|
|
|
||||
|
|
|
|
|
|
|
|
R2 = H, 2-Me, 3-Me, 4-Me, 4-Cl, 3-Br, 4-Br, 4-F, 3-OMe, 4-OEt, 4-OnPr, 4-OnBu, |
|||||||||||||||
R2 |
|
|
|
|
3-OPh, 4-OPh, 4-Et, 4-iPr, 4-tBu. |
|
|
|
|
|
|
|
|||||||||||
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|||||||||
|
|
R2 |
|
|
CHO |
|
|
|
|
|
|
|
|
|
|
|
|
|
|||||
R2 |
|
|
|
R2 = 2,5-diMe; 2,4-diCl; 3,4-diCl; 2,6-diF; 3,4-diOMe; 3,5-diOMe; 3-Me,4-OMe; 3-F,4-OMe. |
|||||||||||||||||||
|
|
|
|
|
|
|
|
CHO |
|
|
|
|
|
|
|
|
CHO |
||||||
|
|
|
|
|
|
|
|
|
|
|
|
R2 |
|
|
|
R2 |
|||||||
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||||||
R2 |
|
|
|
|
|
|
|
|
|
|
|
CHO |
|
|
|||||||||
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|||||
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
X |
|
|
X |
|||||
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||||||
R = 4-Me; 4-OMe; 4-tBu; |
|
|
R2 |
= H, 5-Me, 5-Et, X = O; |
R |
= H, X = O; H, X = S. |
|||||||||||||||||
2 |
|
3-CF3; 3,4-diCl. |
|
|
|
|
H, 5-Me, 4-Br, X = S. |
2 |
|
|
|
|
|
||||||||||
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|||||||||
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
O |
CHO |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
N |
|
|
CHO |
|
O |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Figure 9.9 Monomer sets M1–M2 used for the synthesis of the solution-phase discrete chalcone library L1.
the daughter isoxazoline library L2 (1280 members), while condensation with hydrazine hydrate 9.12 was abandoned as it did not produce a clean set of compounds during the chemistry assessment. Phenylhydrazines 9.13a–f performed better, and the trisubstituted pyrazoline library L3 (7680 members) was obtained.



9.1 PHARMACEUTICAL APPLICATIONS 437
O |
|
|
|
|
|
|
|
|
|
|
|
|
+ |
|
|
|
a |
|
MIXTURES OF COMPOUNDS |
||
R1 |
R2 |
|
|
|
|
|
||||
H2N |
|
|
COOEt |
|
ABANDONED |
|
||||
L1 |
|
|
9.16 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||
1280 chalcones |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
O |
|
|
|
|
|
|
|
N |
CN |
|
|
|
|
|
|
|
|
|
|
||
|
|
|
|
|
|
|
|
|
|
|
|
|
+ |
|
|
|
b |
|
|
|
|
R1 |
R2 |
H2N |
|
|
CN |
|
R1 |
|
R2 |
|
L1 |
|
|
9.17 |
|
|
|
L6 |
|
||
|
|
|
|
|
|
|
||||
1280 chalcones |
|
|
|
|
|
|
|
|||
|
|
|
|
|
|
|
1280 pyridines |
|
||
|
|
|
|
|
|
|
|
|
||
|
|
|
|
|
|
|
|
|
O |
|
|
|
|
|
|
|
|
|
N |
N |
|
O |
|
|
|
O |
|
|
|
N |
O |
|
|
|
|
|
|
|
|
|
|
||
|
|
+ |
N |
N |
c |
|
|
|
|
|
R1 |
R2 |
|
|
|
|
|
||||
|
|
|
|
|
R |
|
R |
|||
L1 |
|
|
NH2 |
|
|
O |
|
1 |
|
2 |
|
|
9.18 |
|
|
L7 |
|
|
|||
1280 chalcones |
|
|
|
|
|
|
|
|
||
|
|
|
|
|
|
1280 pyridopyrimidinediones |
||||
|
|
|
|
|
|
|
|
|||
|
|
|
|
|
|
|
|
R3 |
R4 |
|
|
|
|
|
|
|
|
|
(n) |
|
|
O |
|
|
R3 |
R4 |
|
|
|
N |
O |
|
|
R2 + |
|
(n) |
|
|
d |
|
|
|
|
R1 |
|
|
|
|
|
|
|
|
||
|
|
|
|
|
R |
1 |
R |
2 |
||
L1 |
|
NH2 |
|
O |
|
|
||||
|
|
|
L8 |
|
|
|||||
1280 chalcones |
|
|
9.19a-f |
|
|
|
|
|
||
|
|
|
|
|
7680 tetrahydroquinolines |
|
||||
|
|
|
|
|
|
|
|
|
R3 = H, Me, iPr, Ph, R4 = H, n = 1;
R3,R4 = Me, n = 1; R3,R4 = H, n = 2
a:various reaction conditions; b: NaOH, EtOH, 70°C, 6 hrs; c: NaOH, EtOH, 80°C, 16 hrs;
d:NaOH, EtOH, 80°C, 12 hrs.
Figure 9.12 Solution-phase discrete pyridine-based librariesL6–L8 obtained from the solutionphase discrete chalcone library L1.
9.1.8 From Hit to Lead
The selected hit must be exploited rapidly and thoroughly in this drug discovery phase. It must be chemically tractable to allow its selective derivatization/modification and the fast preparation of diverse analogues. These analogues are prepared in larger amounts (typically a few milligrams per compound) as discretes. Their thorough characterization on several assays (vide infra) establishes a reliable SAR for the modification of the hit nucleus and selects the most promising class of derivatives

438 APPLICATIONS OF SYNTHETIC LIBRARIES
O |
|
|
|
|
N |
R3 |
|
R1 |
|
||
R2 |
|
||
L1 |
NH |
N |
|
1280 chalcones |
|
||
+ |
a |
R2 |
|
R1 |
|||
N |
L9 |
|
|
7680 tricycles |
|||
|
|||
R |
NH2 |
|
|
3 |
|
|
N
H
9.20a-f R3 = H; 5-OMe; 5-F; 5-CF3; 5,6-diCl; 5,6-diMe.
O |
|
|
|
R1 |
|
R2 |
|
L1 |
|
|
R2 |
80-member subset |
|
|
|
+ |
|
|
R4 |
|
|
|
|
O |
|
|
|
|
|
R5 |
N |
R3 |
O |
b |
R1 |
N |
|
R3 |
O O |
H |
|
|
N |
M1 |
|
|
H |
16 isatins |
|
|
L10 |
+ |
|
|
|
|
25,600 spiropyrrolidines |
R4
R
5 NH COOH
a: NaOH, EtOH, 80°C, 16 hrs; b: NaOH, dioxane, 80°C, 12 hrs.
M2
20 α-amino acids
Figure 9.13 Solution-phase discrete polycyclic libraries L9–L10 obtained from the solutionphase discrete chalcone library L1.
(leads), which will be further optimized with even more focused efforts. The same process is also applied when the hit comes from more conventional sources, such as literature searching or structural information generated in-house (e.g., X-ray structure of the target active site).
The synthetic routes available to prepare diverse analogues include the classical synthesis of single target molecules to check the feasibility of some synthetic schemes and to explore noncombinatorializable routes, as well as the parallel synthesis of several small arrays of compounds, expanding the diversity around a chemical modi-
9.1 PHARMACEUTICAL APPLICATIONS 439
fication. The typical size of a focused screening set designed to select a lead decreases to several hundreds to a few thousands of derivatives. These libraries are submitted to medium–high throughput biological assays measuring their potency on the target along with selectivity, toxicity, stability, and physicochemical and pharmacokinetic properties. The increased, and more stringent, set of requirements to progress a hit to the next drug discovery phase causes a significant drop in the number of potential lead candidates along the process. The parallel progression of multiple hits coming from the same primary screening campaign is, when possible, desirable.
9.1.9 Patenting Issues
Patenting a class of chemical entities is, here as in many other fields, the key that eventually leads to the return of investments and prevents the insurgence of competition. The change in the pharmaceutical market, though, has also had a strong impact on patenting policies; the increased time taken for a drug to reach the market has reduced the profitability time window for companies. In fact, given that patent protection expires after 20 years, if it is filed very early and 15 years are required to reach the market, only five years of sales without generic competition are granted. Thus, filing a patent in the late phases of drug discovery becomes appealing as only the more assessed and promising drug candidates are patented, reducing the substantial patent costs, and a larger profitability window is available.
High-throughput chemistry and biology have introduced an additional variable to the patent protection equation in drug discovery. Chemical libraries (i.e., large collections of chemical compounds) can be patented and may either represent prior art to hinder competitive research on the same structural class or even a way to claim large collections/libraries of compounds for specific applications. A conservative patenting approach can be severely damaged if competitors are actively exploiting the same biological target using high-throughput chemical and biological strategies and patent their results early. A careful evaluation of the risks versus benefits of waiting to file patents during the drug discovery process should be made, and competitor activity should be monitored regularly to facilitate implementation of the best patenting strategy for a specific project.
Combinatorial technologies–related patents have appeared since the early 1990s, and their number is growing steadily. They can be divided mostly into structure-based patents and technology-based patents. The first are broad patents claiming chemical classes of compounds and/or their screening on large families of targets (enzymes, receptors, whole cells, etc.). Some claimed generic or specific structures are reported in Fig. 9.14 together with the patent number, the claimed biological activities, and the existence of prior art as determined by the International Search Report, which could endanger some of the patent claims or even the whole patent. Technology-based patents span a wide range of applications, including methods for library synthesis, tagging methods, and synthetic and analytical combinatorial instrumentation. A sampling of these patents is reported in Fig. 9.15 together with their main claims and contents and with relevant findings provided by the International Search Report.

