Solid-Phase Synthesis and Combinatorial Technologies
.pdf
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.
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.

