.
Angewandte
Communications
De Novo Design
Hot Paper
Fragment-Based De Novo Design Reveals a Small-Molecule Inhibitor
of Helicobacter Pylori HtrA**
Anna M. Perna, Tiago Rodrigues, Thomas P. Schmidt, Manja Bçhm, Katharina Stutz,
Daniel Reker, Bernhard Pfeiffer, Karl-Heinz Altmann, Steffen Backert, Silja Wessler, and
Gisbert Schneider*
Abstract: Sustained identification of innovative chemical
entities is key for the success of chemical biology and drug
discovery. We report the fragment-based, computer-assisted
de novo design of a small molecule inhibiting Helicobacter
pylori HtrA protease. Molecular binding of the designed
compound to HtrA was confirmed through biophysical
methods, supporting its functional activity in vitro. Hit
expansion led to the identification of the currently best-in-
class HtrA inhibitor. The results obtained reinforce the validity
of ligand-based de novo design and binding-kinetics-guided
optimization for the efficient discovery of pioneering lead
structures and prototyping drug-like chemical probes with
tailored bioactivity.
confirmed specific binding of the NCE to H. pylori HtrA.
Hit expansion on the designed small molecule led to the
currently best-in-class HtrA inhibitor with favorable phys-
icochemical properties, binding kinetics and functional activ-
ity. The results obtained validate automated ligand-based
de novo design as a prime concept for the pioneering
discovery of tailored chemical matter for new macromolec-
ular targets.
H. pylori is a Gram-negative bacterial pathogen coloniz-
ing about 50% of the worldꢀs population and constitutes a risk
factor for developing gastric/duodenal ulcers, as well as
gastric cancer.[4] With increasing resistance against our con-
ventional antibiotic armamentarium, there is an unmet need
for novel therapeutic agents capable of preventing disease
onset and progression. Additionally, host–pathogen interac-
tions need to be further understood by use of small-molecule
probes to enable the design of efficacious drugs.[5] HtrA is
a virulence factor secreted by H. pylori and other pathogens,
and plays an important role in cleaving E-cadherin and
disrupting epithelial cell-to-cell adhesion.[6] Though, the
adequate study of target biology and validation of HtrA as
a relevant clinical drug target has been precluded by the lack
of proper chemical tools. Current state of the art relies on
rhodanine derivative 1a (Figure 1),[7] a poorly soluble,
aggregating chemical entity with potential for conjugation
with macromolecules through Michael addition. In a first
attempt at finding analogues of 1a with amended structural
features, we performed computational similarity searching in
a collection of 3255508 commercially available compounds.
Using 1a as query, we identified 11 potential HtrA inhibitors
(Table S2 in the Supporting Information). We used SPR for
compound profiling and assessing their binding affinities to
HtrA. While the query 1a has a KD value of (27 Æ 4) mm,
compounds 1b [(12 Æ 2) mm] and 1c [(10 Æ 1) mm] showed the
highest affinities among the 11 selected analogues (Fig-
ure S22).
T
he success of future drug discovery heavily relies on the
sustainable identification of new chemical entities (NCEs).[1]
By complementing high-throughput compound screening and
conventional in silico methods, computer-assisted de novo
molecular design is emerging as a promising technology.[2] For
example, it has recently been applied to the rational design of
prototypical kinase inhibitors.[3] Herein we disclose the
de novo design of an innovative Helicobacter pylori high-
temperature requirement A (HtrA) serine protease inhibitor.
The computationally designed compound displays suitable
properties for further development and chemical biology
studies. It blocked functional HtrA-mediated cleavage of E-
cadherin and inhibited H. pylori transmigration in an in vitro
pathogenesis model. Surface plasmon resonance (SPR) and
saturation-transfer difference (STD) NMR data further
[*] Dr. A. M. Perna,[+] Dr. T. Rodrigues,[+] K. Stutz, D. Reker,
Dr. B. Pfeiffer, Prof. Dr. K.-H. Altmann, Prof. Dr. G. Schneider
Department of Chemistry and Applied Biosciences, ETH Zurich
Vladimir-Prelog-Weg 4, 8093 Zürich (Switzerland)
E-mail: gisbert.schneider@pharma.ethz.ch
T. P. Schmidt, Prof. Dr. S. Wessler
Department of Molecular Biology, Universität Salzburg (Austria)
Noteworthy, no key scaffold hops were achieved by
similarity searching, as the selected compounds, like query
1a, still contain potentially reactive moieties. This result
points to limitations of virtual screens as a feasible solution
for the multidimensional exploration of chemical space. Thus,
we hypothesized that computer-assisted de novo design might
be better suited for this purpose, and provide chemotypes that
mitigate the liabilities of 1a–c. While a similar approach had
previously been pursued for the generation of innovative
chemotypes with predictable target affinities,[8] scaffold hops
have rarely been attempted with the goal of fulfilling multiple
Dr. M. Bçhm, Prof. Dr. S. Backert
Department of Biology, Universität Erlangen-Nürnberg (Germany)
[+] These authors contributed equally to the work.
[**] This research was financially supported by a grant from the OPO
Foundation, Zurich. The Chemical Computing Group and Inte:Li-
gand provided software licenses. The work of S.B. is supported by
SFB-796 (project B10). The work of S.W. is supported by a grant P-
24074 from the Austrian Science Fund (FWF). Camilla Pimenta and
Sarah Haller are acknowledged for technical support.
Supporting information for this article (experimental details, addi-
10244
ꢀ 2015 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim
Angew. Chem. Int. Ed. 2015, 54, 10244 –10248