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J. Zhou et al. / Bioorg. Med. Chem. Lett. 18 (2008) 6175–6178
O
O
NH
O
O
HN
N
NH
O
F
NHAc
1
Figure 1. Key interaction of compound 1 (yellow) with Adenine 2602 (A2602) (white) of the 50S ribosomal binding site.
O
O
O
O
O
O
N
N
N
NH
NH
NH
F
F
F
O
NHAc
NHAc
NHAc
N
N
2
3
4
Figure 2.
aromatic group to the biaryloxazolidinone and on modifying the
nature of the terminal aromatic group.
Table 1
Optimization of terminal aromatic interactions
Table 1 shows the results from our efforts to optimize antibi-
otic–ribosome interactions. In all cases, a simple benzylic amine
functionality delivered the aromatic rings for productive interac-
tions with A2602, and simple heterocycles such as 3 were as po-
tent as condensed heterocycles. Exquisite potency across the
streptococci was maintained by all three compounds (2, 3, and
4). In addition, all were potent against the linezolid-resistant
enterococcal strain. Importantly, all analogs showed potency
against Haemophilus influenzae RD1, a moderately susceptible
clinical strain, although their MIC90s (not shown) were not opti-
Linezolid
2
3
4
Intrinsic affinity
E. coli translation IC50
Selectivity
(
l
M)
4.6
Y
<0.02
Y
0.05
Y
0.04
Y
MIC (lg/ml)
S. pneumoniae 02J1175 mef (A)
2
1
32
16
8
0.5
0.5
2
8
1
0.2 5
0.5
2
8
0.5
0.25
0.2 5
4
4
0.5
S. pyogenes Msr 610 erm (B)
E. faecalis P5 (linezolidÒ
)
H. influenzae parent strain (RD1)
H. influenzae 895 (AcrB-KO)
All minimal inhibitory concentration (MIC) determinations were carried out under
NCCLS conditions.3 Ribosomal translation was carried out as described in our
companion letter.1 All compounds were greater than 100-fold selective for E. coli
over rabbit reticulocyte enzymes.
mal (8–16 lg/ml). Their molecular properties, in particular the
predictions for Caco-2 cell permeability, a surrogate for oral bio-
availability, were significantly worse than linezolid and therefore
were expected to have limited oral bioavailability. This liability
was confirmed in the comparatively poor in vivo efficacy of
these compounds in
shown).
a murine peritonitis model (data not
cacy. In some cases this design strategy led us away from the incor-
poration of a terminal heterocycle (compounds 9 and 11). In order to
be effective, we devised synthetic routes and key intermediates that
would allow us to probe several lines of analoging in a parallel and
efficient manner. Using these synthetic approaches we designed
and generated analogs 5–11 (Fig. 3).ààà As noted earlier1 the highest
energy interaction with the ribosome are associated with the biaryl
and oxazolidinone residues. From our computational analysis, the
diversity of remaining residues incorporated in compounds 5–11
are readily accommodated by the ribosome but do not provide for
specific interactions. Their major influence is therefore on
modifying the various molecular properties associated with cell
penetration.
Balancing the biaryl scaffold for candidate compounds: In con-
junction with a series of amino acid biaryl oxazolidinones (details
to be published separately), these simplified analogs formed the
base for a predictive computational model that described activity
against H. influenzae. The model is a simple six-descriptor model
that requires a balance between factors that contribute to both affin-
ity and those that speak to drug-like properties (data not shown).
Combining this model with accurate Qikprop2 predictions for
Caco-2 cell permeability and aqueous solubility as well as being
guided by our structural knowledge within the ribosome, we initi-
ated an optimization program. Our goals were to maintain or im-
prove activity across the Gram-positive bacteria, boost activity
against H. influenzae, and balance properties required for in vivo effi-
As shown in Table 2, these compounds showed superior
activity across the MIC panel, which included clinically relevant
and challenging Gram-positive strains and were >100-fold selec-
tive for bacterial ribosomes over those of rabbit reticulocyte
(data not shown). Moreover, they showed consistent and signif-
Full details of the structure-based approach, described above will be published
elsewhere. Briefly, from iterative solutions of new oxazolidinone-containing com-
pounds bound to their ribosomal target, we ranked new analogs on how they
improved the interaction energies and shape complementarity (or ‘‘fit”) to the
binding pocket. This was accomplished using our proprietary suite of computational
tools, AnalogTM, which combines a grow-search-and-score algorithm with a highly
accurate molecular properties calculator, QikProp. These ideas were filtered based on
mathematical models that point in the direction of improved biological activity. MIC
data from a broad range of substituted bis-aryloxazolidinones were incorporated as
thetraining sets for several computational models of H. influenzae inhibition. These
models were based on either a linear or neural network approach and were used to
icant activity against H. influenzae strains, with most MIC90
s
against H. influenzae of 4 g/ml or better. Additionally, all com-
l
pounds showed oral efficacy in
a
Streptococcus pneumoniae
ààà
Although derived here from first principles by use of the ribosomal structure,
several examplesof substituted biaryl oxazolidinones have been previously
reported.5–8 However, the importanceof the therapeuticaly valuable heterocyclic-
generate
oxazolidinones.
a
target list of substituted alkyl and heteroalkylamino bis-aryl
substituted aminoalkyl variants reported hererepresent
important compound class.
a new advance to this