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Solid-Phase Synthesis and Combinatorial Technologies

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9.1 PHARMACEUTICAL APPLICATIONS 443

 

 

 

X

a

 

+

R1

COOH

NH2

M1

 

 

 

 

 

 

 

 

H2N

 

66 representatives

 

O

 

 

X = CH2

 

9.22

 

X = OCH2

 

 

 

X = OCH2CH2CH2

 

a: peptide coupling conditions.

 

O

 

 

Cl

N

NH2

O

O

 

 

H

 

 

 

O

 

 

Cl

9.23

Cl

 

 

 

Cl

CaPMI IC50 = 30 M

 

 

 

 

O

 

 

O

N

NH2

 

 

 

Cl

H

 

 

 

O

 

 

Cl

9.25

 

 

 

CaPMI IC50 = 15 M

 

R

X

NH2

1

 

N

 

 

H

O L12 O

66 confirmed discretes

O

N NH2

H

O

9.24

CaPMI IC50 = 50 M

Figure 9.17 SAR from N-capping modifications of 9.21: structures of the solution-phase peptidomimetic discrete library L12 and of hits 9.23–9.25 obtained from its screening.

displaced with M1 (phenols, thiophenols, anilines, and aminopyridines). While both thiophenols and anilines provided the desired compounds during the assessment, the reactivity of phenols and aminopyridines was not satisfactory. A 51-member discrete array L13 was prepared and confirmed after quality control by HPLC. The compounds were screened, confirming the importance of the dichloro-substituted phenyl ring. A few reprepared discretes showed the general potency order thiophenol > phenol > aniline (compounds 9.28–9.33, Fig. 9.18).

Modification of the butyl linker moiety was then studied on SP, treating 9.26 with M1 (symmetrical anhydrides or diacids, 10 representatives, Fig. 9.19) to give the resin-bound acids 9.34, which were pooled, reduced to alcohols 9.35, and brominated to give the alkyl bromides 9.36. The resin was split into 60 portions and treated with M2 (the same 60 thiophenol and aniline nucleophiles as for L13) to give the 600-member pool library L14 made of 60 pools of 10 individuals (Fig. 9.19). The library quality

444 APPLICATIONS OF SYNTHETIC LIBRARIES

 

 

a

 

 

 

 

XH

 

 

 

 

 

 

 

 

 

 

 

 

 

O

H

+

R1

 

 

H

 

 

 

 

 

 

 

 

N

 

 

 

H2N

N

 

Br

N

 

P

 

 

P

 

 

H

 

 

M1

 

 

O

 

 

O

 

 

 

 

 

 

9.27

 

 

60 thiophenols and

 

9.26

 

 

 

 

 

 

 

 

 

 

anilines

 

 

 

O

H

 

 

 

O

 

 

 

 

 

 

 

NH2

b

 

 

c

 

 

 

 

 

N

 

X

N

 

X

 

N

P

 

 

 

 

 

 

H

 

 

 

 

H

 

 

 

 

O

 

 

 

O

 

R1

 

L13

R

 

 

 

 

 

 

 

 

 

 

 

1

 

 

 

 

 

 

 

 

51 confirmed discretes

a: bromobutyric acid, HATU, DIPEA, DMF, rt; b: DMSO, rt, DIPEA (only for X = S); c: TFA, DCM, rt.

 

O

 

O

X

NH2

Cl

NH2

N

X

N

Cl

H

 

H

 

O

 

O

Cl

 

Cl

 

9.28 X=S, CaPMI IC50 = 6 M

9.31 X=S, CaPMI IC50 = 14 M

9.29 X=O, CaPMI IC50 = 15 M

9.32 X=O, CaPMI IC50 = 40 M

9.30 X=NH, CaPMI IC50 = 21 M

9.33 X=NH, CaPMI IC50 = 50 M

Figure 9.18 SAR from N-capping modifications of 9.21: structures of the solution-phase peptidomimetic discrete library L13 and of hits 9.28–9.33 obtained from its screening.

was good (HPLC/MS), but none of its components showed significant activity on CaPMI.

The carboxamide moiety was then examined, preparing several 2,4-dichlorophenoxy compounds in solution (9.37–9.43, Fig. 9.20). Replacement of the primary amide with small N-nucleophile-derived groups (9.41–9.43) maintained activity, as did the methyl ester–substituted 9.39 while the free acid 9.38, the deletion compound 9.37, and more complex secondary amide analogues lost inhibitory activity. The hydroxamate function significantly increased the solubility profile of 9.43; thus it was considered relevant for the optimization of the chemical series (Fig. 9.20).

A small discrete library L15 explored the replacement of the amino indane scaffold with aromatic, monoand dialkylated linear or cyclic amino acids. Even small modifications were found to destroy the activity (9.44–9.46, Fig. 9.21). Only the amino tetralone replacement (9.47) afforded a weakly active compound (Fig. 9.21). Finally, a three-member discrete set of substituted amino indane–based compounds 9.52a–c

9.1 PHARMACEUTICAL APPLICATIONS 445

M1

 

 

 

H

 

a

 

O

 

H

 

 

 

 

 

 

 

 

(n)

N

N

P

 

 

 

H2N

N

P

 

 

 

 

 

 

 

 

HOOC

R1

H

O

 

 

 

 

O

 

 

 

9.34

 

 

 

 

 

 

 

 

 

 

 

 

9.26

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

O

 

H

 

 

 

 

O

H

 

 

 

 

 

 

 

 

 

 

 

 

 

 

N

 

 

 

 

 

 

b,c,d

OH

(n)

N

P

e,f

 

(n)

 

N

 

 

R1

 

 

Br

N

P

 

 

 

H

 

 

 

 

R1 H

 

 

 

 

 

O

 

 

 

 

 

O

 

 

 

 

9.35

 

 

 

 

 

9.36

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

M2

 

 

O

 

 

H

h

 

 

O

NH2

 

 

 

 

 

 

 

 

 

g

 

 

(n)

N

 

N

 

X

(n)

 

X

 

P

 

 

N

 

 

R1

H

O

 

 

 

 

R1

H

 

R2

 

L14

 

 

R2

 

 

O

 

 

 

 

 

 

 

 

600-member library ten pools of 60 compounds

a: acylation; b: pooling of resin aliquots; c: iBuOCOCl, TEA, THF, rt; d: NaBH4, H2O; e: Ph3PBr2, DCM, rt; f: resin portioning (1 to 60); g: DMSO, rt, DIPEA (for X=S); h: TFA, DCM, rt.

 

 

M1: 10 representatives

 

 

 

 

COOH

COOH

 

 

 

 

COOH

COOH

HOOC

COOH

HOOC

COOH

 

 

 

 

 

 

HOOC

COOH

 

 

 

 

 

 

COOH

COOH

 

 

HOOC

COOH

COOH

COOH

 

 

 

 

 

 

HOOC

COOH

HOOC

COOH

 

 

 

 

M2: 60 representatives (30 thiophenols, 25 anilines, 5 aminopyridines)

Figure 9.19 SAR from N-capping modifications of 9.21: structures of the solution-phase peptidomimetic pool library L14 and of the monomer sets M1–M2.

446 APPLICATIONS OF SYNTHETIC LIBRARIES

 

O

Cl

N R1

O

 

H

Cl

9.37R1=H, CaPMI IC50 = >200 M

9.38R1=COOH, CaPMI IC50 = >500 M

9.39R1=COOMe, CaPMI IC50 = 34 M

9.40R1=CH2OH, CaPMI IC50 = 140 M

9.41R1=CONHMe, CaPMI IC50 = 34 M

9.42R1=CONHNH2, CaPMI IC50 = 40 M

9.43R1=CONHOH, CaPMI IC50 = 39 M

Figure 9.20 SAR from amide replacement in 9.21: structures of compounds 9.37–9.43.

 

 

 

O R

R

2

 

 

 

Cl

1

 

 

 

 

N

 

NH2

 

 

 

O

 

 

 

 

 

 

H

O

 

 

 

 

 

 

 

 

 

 

Cl

L15

 

 

 

 

 

discrete library

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

O

 

O

 

 

Cl

 

NH2

 

Cl

NH2

 

 

O

N

 

 

 

H

 

O

N

 

 

 

O

 

 

H

 

 

 

9.45

 

 

O

 

 

 

Cl

9.44

 

Cl

 

CaPMI IC50 > 200 M

CaPMI IC50 > 200 M

 

 

 

 

 

 

 

 

 

 

O

 

 

 

 

O

 

 

 

Cl

 

NH2

 

Cl

NH2

 

O

 

O

 

 

N

 

N

 

 

 

H

 

 

H

 

 

 

O

 

 

O

 

 

 

9.47

 

9.46

 

 

 

 

 

 

Cl

 

CaPMI IC50 = 93 M

Cl

CaPMI IC50 > 200 M

 

 

 

 

 

Figure 9.21 SAR from amino indane replacement in 9.21: structures of the solution-phase peptidomimetic discrete library L15 and of selected library individuals 9.44–9.47.

9.1 PHARMACEUTICAL APPLICATIONS 447

was prepared following the SP strategy depicted in Fig. 9.22. The biological activity of these esters was completely lost, confirming the extremely strict structural requirements of the scaffold portion of these CaPMI inhibitors (compare with 9.39, Fig. 9.20).

The combined information acquired by the above-mentioned efforts produced the novel compound 9.53 (Fig. 9.23) as a moderately potent inhibitor of CaPMI with good physicochemical properties, modest selectivity versus the human enzyme, and some in vivo activity against several fungal strains.

Fmoc

O

a,b

 

 

+ R1

Br

 

N

P

 

O

Br

 

H

 

 

P

 

O

 

 

N

 

 

9.48

 

 

O

 

 

 

 

 

 

9.49

 

 

 

 

R1

 

 

 

R1

 

 

 

 

 

 

c

 

 

d,e

 

O

 

 

 

Cl

 

O

 

 

 

 

 

N

O

 

O

N

P

 

P

 

 

H

O

 

 

O

 

 

 

 

 

 

 

9.51a-c

 

 

9.50a-c

Cl

 

 

 

 

 

 

 

 

 

 

 

R1

 

 

 

f,g

 

O

 

 

 

 

 

 

 

 

 

 

Cl

 

 

OMe

 

ON H

O

Cl

9.52a-c

CaPMI IC50 > 200 M

a:piperidine, DMF, rt; b: benzophenone imine, AcOH, NMP, rt; c: NaHDMS, THF, -78°C to rt;

d:NH2OH.HCl, THF, rt; e: acid, HATU, DIPEA, DMF, rt; f: TFA, DCM, rt; g: Me3SiCHN2, THF, rt.

COOMe

9.52a

9.52b

9.52c

Figure 9.22 SAR from amino indane replacement in 9.21: structures of compounds 9.52a–c.

448 APPLICATIONS OF SYNTHETIC LIBRARIES

 

O

 

NHOH

S

N

Cl

H

 

O

Cl

9.53

 

CaPMI IC50 = 4

M

 

HumanPMI IC50 =

26 M

S. cerevisiae MIC = 80 M

Figure 9.23 Structure and properties of the optimized lead compound 9.53.

9.1.11 An Example: Synthesis of a κ Opioid Receptor–Focused Piperidine

Library

Thomas et al. (57) recently reported the synthesis of a 288-member discrete solution library L16 of piperidines (Fig. 9.24), inspired by the structures of known piperidine-

OH

OH

OH

 

N

N

N

 

H

 

9.56

 

 

9.54

 

 

 

9.55

HO

 

OH

 

L16

 

discrete library

N

288 individuals

 

R1

R3

N

 

R2

O

 

Figure 9.24 Structures of the known opioid antagonists 9.54–9.56 and of the solution-phase discrete focused library L16 inspired by their structures.

9.1 PHARMACEUTICAL APPLICATIONS 449

based opioid antagonists 9.54–9.56 (Fig. 9.24) (58, 59). These structures showed a subtype selectivity toward the µ opioid receptor. The authors intended to pursue the identification of selective opioid antagonists, possibly active on the κ receptor subtype, as novel and more effective agents in drug abuse therapy. Knowing that N-substitution did not alter the antagonistic nature of the piperidine-based derivatives, a synthetic scheme based on decoration of the N-unsubstituted scaffold 9.54 was designed (Fig. 9.25).

The scaffold was first coupled with monomer set M1 (11 N-protected α-amino acids, from which seven validated monomers were used for the library synthesis, Fig. 9.26) to give 9.57; then the N-protecting group was removed (steps a and b, Fig. 9.25). The amide bond was reduced (step c), and the intermediates 9.58 were purified by chromatography or by crystallization. Finally, monomer set M2 (171 carboxylic acids, from which 116 validated monomers were used for the library synthesis, Fig. 9.26) was coupled to 9.58 to give L16 (step d, Fig. 9.25). The monomers M1 were chosen to avoid µ-orienting cyclic lipophilic substituents at a distance of three carbon atoms from the piperidine nitrogen atom, while various aryl-, alkyl-, or alkenylaryl carboxylic acids were used as the M2 set to explore the substitution pattern allowed at the amidic nitrogen atom. The 288 confirmed library individuals contained 7 different M1 monomers (from 1 to 116 recurrences of the same monomer) and 116 different M2 monomers (from 1 to 7 recurrences of the same monomer). The unexplained imbalance in L16 composition between monomer representatives might be due to various factors, such as the successful characterization of final compounds (purity cutoff) or the decision to report only selected structures and biological data.

The 288 library individuals were tested as κ-opioid binders in a radioligand binding assay. The percent inhibition of the most relevant compounds at a concentration of 100 nM is listed in Table 9.1, and their structures are reported in Fig. 9.27. Among them, compound 9.66 displayed an extremely interesting in vitro κ-opioid binding activity

OH

OH

OH

OH

 

 

 

 

M

b,c

M2

 

 

1

 

 

 

a

 

d

 

 

 

 

 

N

N

N

 

N

 

 

 

 

R1

H

 

R1

 

9.54

O

R1

 

 

HN

R3

N

 

 

N

R2

 

R2

 

Boc

R2

 

O

 

 

9.58

 

 

9.57

 

L16

 

 

 

a: BOP, TEA, THF, rt; b: TFA, DCM, rt; c: BH3.SMe2, rt; d: BOP, TEA, THF, rt.

Figure 9.25 Synthetic scheme to the solution-phase discrete focused piperidine library L16.

450 APPLICATIONS OF SYNTHETIC LIBRARIES

 

 

M1

 

 

11 representatives

8

N-Boc α-amino acids (4 used in

3 N-Me α-amino acids, such as

 

L16 synthesis) such as

 

Boc

N COOH H2N COOH

N COOH

 

 

H

H

M2

171 representatives

4 alkyl amino acids (3 used in

L16 synthesis) such as

N

COOH

37 benzoic acids (23 used in

F

L16 synthesis) such as

 

39 cinnamic acids (24 used in L16 synthesis) such as

11 alkyl acids (10 used in

L16 synthesis) such as

14 pyridine-based acids (11 used in L16 synthesis) such as

26 propionic/butyric acids (19 used in L16 synthesis) such as

40 phenylacetic acids (25

used in L16 synthesis) such as

O2N

COOH

 

COOH

 

 

 

 

COOH

Br

COOH

 

OH

 

OMe

 

COOH

 

COOH

 

 

 

COOH

 

 

N

Cl

N

COOH

 

HO

 

 

OH

 

 

 

 

 

 

COOH

 

COOH

 

O

 

 

OMe

 

COOH

MeO

COOH

 

 

 

Figure 9.26 Monomer sets M1–M2 used in the synthesis of the solution-phase discrete focused piperidine library L16.

9.1 PHARMACEUTICAL APPLICATIONS 451

TABLE 9.1 κ-Opioid Inhibition of Active Individuals from Screening of the Solution-Phase Discrete Focused Piperidine Library L16

Compound

9.59

9.60

9.61

9.62

9.63

9.64

9.65

9.66

Inhibitiona

42

43

43

50

50

52

61

70

aPercent inhibition of 100 nM.

OH

OH

OH

OH

 

 

N

NO2

N

 

 

N

N

 

 

 

 

HO

HO

 

 

 

 

 

 

 

 

N

NH

NH

NH

O2N

 

NH

 

 

 

 

 

 

 

Cl

O

O

O

9.60

O

 

 

 

 

9.62

9.59

 

 

 

9.61

 

 

 

 

 

 

 

 

 

 

 

 

 

OH

 

OH

 

OH

 

 

 

 

 

 

 

 

 

 

 

 

 

 

N

N

 

N

 

 

 

 

 

 

 

 

Cl

 

 

OH

 

 

 

 

 

 

 

 

 

 

 

N

NH

 

 

NH

 

NH

 

 

 

 

 

 

 

 

 

 

S

O

9.63

O

 

9.64

O

9.65

 

 

 

 

 

 

 

 

 

 

OH

 

N

HO

NH

9.66O

Figure 9.27 Active library individuals 9.59–9.66 from screening of L16.

452 APPLICATIONS OF SYNTHETIC LIBRARIES

that, unfortunately, was not confirmed in another in vitro assay (59). This result suggested a lower antagonist potency than predicted from the radiolabeled binding assay. The compound, though, remained a useful tool to further investigate the role of κ-receptor subtypes in drug abuse, and the set of acquired data represented a valuable SAR, which was useful for the authors to refine their knowledge of this structural class of opioid antagonists and to orient their future efforts in this area.

9.1.12 From Lead to Clinical Candidate

A lead structure needs refinement to be moved to the status of development candidate, which is then progressed further beyond the research phase of drug discovery. Many noncombinatorial parameters are studied in this phase, but still the synthesis of extremely focused arrays of discretes takes place. The prepared arrays undergo a thorough developability profiling, being characterized in terms of in vitro and in vivo potency, selectivity versus other, similar targets, safety issues related to toxicity and mutagenicity, physicochemical parameters including solubility and lipophilicity, and pharmacokinetic profiles, including ADME properties (see next section). The compounds are prepared in large amounts (hundred milligrams to grams), and issues related to cost of goods and chemical process routes are important; the characterization of compounds is rigorous, but nevertheless an increased chemical and biological throughput is highly beneficial. Purity is also an essential requisite, as most of the above-men- tioned assays require highly pure samples to be reliable.

The drug candidates obtained are processed using classical development techniques and disciplines such as chemical and pharmaceutical development and are eventually profiled in clinical studies. Combinatorial technologies do not play a highly recognized role in these late phases, even if areas such as chemical route identification and process development optimization may largely benefit from combinatorial approaches and from SP chemistry (60–63). The overall impact of combinatorial technologies, though, significantly reduces the time required to progress molecules through the drug discovery process along with the cost of the process by focusing, as early as possible, on the most likely candidates while dropping the less promising ones.

9.1.13 HTS ADME and Physicochemical Assays

The development process to take a candidate drug to the market is historically highly influenced by the so-called ADME (absorption, distribution, metabolism, and excretion) properties of a molecule. Many candidates that exhibit otherwise good activity profiles are dropped due to unavoidable ADME failures. ADME screens have always been considered time-consuming and labor-intensive, low-throughput processes that were carried out during the late phases of the drug discovery process. More in general, an early, albeit approximate, evaluation of the physicochemical, pharmacokinetic, and toxicity properties of compounds/combinatorial arrays would be extremely useful to focus chemical efforts on druglike molecules. Such a process would eventually build large, systematic, and coherent databases to help the rationalization of ADME-influencing principles and the prediction of ADME and physicochemical properties.