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I. Pibiri et al. / European Journal of Medicinal Chemistry 122 (2016) 429e435
[15,16]. Overall, the general concept underlying therapeutic
nonsense suppression is that a single drug, focused on a specific
genetic defect, may be beneficial to different diseases whose
common denominator is a nonsense mutation. PTC124 is not
structurally similar to aminoglycosides and its activity was first
assessed in HEK293 cells transfected with a luciferase gene
(LUC190) harboring a premature stop codon at Thr190, replacing
the normal ACA with UAA, UAG and UGA. Such ability was also
assessed using MDX mice (mice with Duchenne Muscular Dis-
trophy caused by nonsense mutation) showing 20e25% recovery of
full-length dystrophin [6].
In these past years PTC124 has been the subject of an intense
debate about its mechanism of action, because some studies evi-
denced that it has an effective readthrough activity [4] while a few
studies did not find enough evidence to prove the readthrough
activity of PTC124 [17e19]. Our previous results on readthrough
activity of PTC124 tested with a novel reporter vector harboring a
premature stop codon (TGA) in the H2B-GFP fused gene (H2B-GFP-
opal) and a molecular dynamics simulation on the hypothetical
interaction between PTC124 and a mRNA fragment supported the
hypothesis that PTC124 is able to promote the specific readthrough
of internal UGA premature stop codons [20].
Recently, we also reported the synthesis of a set of variously
fluorinated PTC124 analogues and their biological screening in the
lower airway cell line (IB3.1) revealed three analogues showing
comparable or higher activity than PTC124 as readthrough pro-
moters [21].
However, despite recent progress on the topic, the precise bio-
logical site targeted by PTC124 is still unknown. This makes
impossible to perform docking studies to suggest convenient mod-
ifications of the drug in order to improve its activity even against
those stop codons for which PTC124 has shown a reduced effect.
In this context, based on biological data already available on
some PTC124 analogues we decided to perform a Ligand Based
Virtual Screening in order to identify promising PTC124-like can-
didates eventually providing optimized alternatives for read-
through drug development. Selected candidates were synthesized
and tested for their readthrough activity of premature termination
codons by using FLuc assay and IB3 cell lines.
2.2. Chemistry
All solvents and reagents were obtained from commercial
sources. All synthesized compounds were purified by chromatog-
raphy and analyzed by IR, HRMS, and NMR. Purity of synthesized
compounds was verified prior to biological tests by chromato-
graphic analyses and NMR (see supplementary material) and in all
the cases purity was higher than 95%. IR spectra have been regis-
tered (in Nujol) with a Shimadzu FTIR-8300 spectrophotometer;
melting points have been determined on a Reichart-Thermovar
hotstage Kofler and are uncorrected. NMR spectra have been
registered on a Bruker AVANCE DMX 300 using CDCl3 and DMSO as
solvent. HRMS spectra were recorded by analyzing a 50 ppm so-
lution of the compound in a 6540 UHD Accurate-Mass Q-TOF LC/MS
(Agilent Technologies) equipped with a Dual AJS ESI source. GC-MS
spectra have been registered by using either an Agilent 7890B/
7000C GC-MS-TQ or a GC-MS Shimadzu QP-2010 Instrument. Flash
chromatography was performed by using silica gel (Merck,
0.040e0.063 mm) and mixtures of ethyl acetate and petroleum
ether (fraction boiling in the range of 40e60 ꢁC) in various ratios. 3-
Methyl-benzamidoxime
[31],
2-picolin-amidoxime
[32],
isonicotin-amidoxime [33], nicotin-amidoxime [33], and benza-
midoxime [34] were synthesized as reported. Generally, an acqu-
eous solution of hydroxylamine was prepared by mixing
NH2OH*HCl (36 mmol) and NaOH (36 mmol) in water (20 mL). The
hydroxylamine solution was then added to an alcoholic solution of
the corresponding nitrile (30 mmol) dissolved in ethanol (100 mL)
in a 250 mL round bottomed flask. The mixture was refluxed for 8 h.
The solvent was then removed under vacuum and 100 mL water
were added to the residue. The amidoxime was filtered as a white
solid and re-crystallized from ethanol.
2.2.1. General procedure for the synthesis of 1,2,4-oxadiazoles
The synthesis of 1,2,4-oxadiazoles has been performed by the
amidoxime route [35]. The appropriate amidoxime (0.3 g) was
dissolved in 50 mL of toluene in a 250 mL round bottomed flask.
Then,1.2 eq. of the appropriate aroyl chloride and 1.2 eq. of pyridine
were added and the reaction mixture was refluxed for 6e8 h
monitoring the reaction by TLC until consumption of starting ma-
terial. The solvent was removed under vacuum and water was
added to the residue. Extraction with ethyl acetate and chromato-
graphic separation on silica gel using mixtures of petroleum ether
and ethyl acetate as eluent allowed to obtain the desired oxadia-
zole, further purified by crystallization.
2. Materials and methods
2.1. Ligand based virtual screening
Twenty PTC-124 analogs [22,23] were chosen to create the
starting dataset for the modeling analysis. The dataset structures
were processed with the LigPrep [24] software package in order to
assign the appropriate protonation states at physiological
3-(2′-pyridyl)-5-(3′-cyanophenyl)-1,2,4-oxadiazole (NV1859).
(0.49 g; 89% Yield). White solid, m.p. 148e149 ꢁC from petroleum
ether (lit. [36].148e149 ꢁC). 1H NMR (300 MHz, CDCl3):
d (ppm)
8.86 (dd, 1H, J1 ¼ 10.0 Hz, J2 ¼ 4.8 Hz), 8.60 (brs, 1H), 8.52 (1H, d,
J ¼ 8.0 Hz), 8.23 (1H, d, J ¼ 8.0 Hz), 7.90 (2H, m), 7.73 (1H, t,
J ¼ 7.8 Hz), 7.49 (1H, dd, J1 ¼ 8.0 Hz, J2 ¼ 4.8 Hz); 13C NMR (75 MHz,
pH(7.2
0.2), employing the Ionizer option. Conformers were
generated through Macro-Model torsional sampling using the
OPLS_2005 force field as reported in a previous paper [25]. The
pharmacophore modeling study was performed using the Phase
software. Phase is a versatile product for pharmacophore percep-
tion, structural alignment, activity prediction, and 3D database
creation and searching [26]. After the ligands preparation, the
pharmacophore model was developed by using a set of pharma-
cophore features to generate sites for all of the compounds. A
standard set of six pharmacophore features were used: hydrogen-
bond acceptor (A), hydrogen-bond donor (D), hydrophobic group
(H), negatively ionizable (N), positively ionizable (P), and aromatic
ring (R); Hypotheses were generated by using a previously vali-
dated protocol [27,28]. Virtual high-throughput screening was
performed on ZINC “drug-like” database [29], consisting of about
2*106 compounds and filtered according to the Lipinski’s rule of
Five [30].
CDCl3): d (ppm) 174.38,169.01,150.55, 145.93, 137.19,135.88, 132.07,
131.75, 130.22, 125.82, 125.30, 123.36, 117.34, 113.88; HRMS for
C
14H8N4O found 249.0782 [MþH]þ (Calcd. 249.0771).
3-(4′-pyridyl)-5-(3′-toluyl)-1,2,4-oxadiazole(NV1861). (0.32 g;
62% Yield). White solid, m.p. 109e110 ꢁC from petroleum ether (lit.
[37]. 111e112 ꢁC). 1H NMR (300 MHz, CDCl3):
J ¼ 5.5 Hz), 8.00e7.92 (m, 4H), 7.42 (d, 2H, J ¼ 5.5 Hz), 2.45 (s, 3H);
13C NMR (75 MHz, CDCl3):
(ppm) 177.40, 168.00, 151.09, 139.87,
d (ppm) 8.78 (d, 2H,
d
135.38, 134.65, 129.80, 129.38, 126.06, 124.37, 122.09, 21.99; HRMS
for C14H11N3O found 238.0989 [MþH]þ (Calcd. 238.0975).
3-(3′-pyridyl)-5-(3′-toluyl)-1,2,4-oxadiazole
(NV1879).
(0.46 g; 88% Yield)White solid, m.p. 101e102 ꢁC from petroleum
ether. 1H NMR (300 MHz, CDCl3):
8.78 (dd, 1H, J1 ¼ 5.0 Hz, J2 ¼ 1.8 Hz), 8.46 (dd, 1H, J1 ¼ 7.9 Hz,
d
(ppm) 9.42 (d, 1H, J ¼ 1.8 Hz),
J2 ¼ 1.8 Hz), 8.05 (m, 2H), 7.47 (m, 3H), 2.49 (s, 3H); 13C NMR