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While life expectancy increases worldwide, treatment of neurodegenerative diseases such as AD becomes a major task for industrial and academic research. Currently, a treatment of AD is only symptomatical and limited to an early stage of the disease by inhibiting AChE. A cure for AD might even seem far away. A rethinking of other possible targets is therefore necessary. Addressing targets that can influence AD even at later stages might be the key. Even if it is not possible to find a cure for AD, it is of great value for AD patients by providing an effective medication. The suffering of patients and their families might be relieved and remaining years may be spent with less symptoms and restrictions.
It was shown that a combination of hCB2R agonist and BChE inhibitor might exactly be a promising approach to combat AD. In the previous chapters, a first investigation of dual-acting compounds that address both hCB2R and BChE was illustrated (figure 6.1).
A set of over 30 compounds was obtained by applying SARs from BChE inhibitors to a hCB2R
selective agonist developed by AstraZeneca. In a first in vitro evaluation compounds showed
selectivity over hCB1R and AChE. Further investigations could also prove agonism and showed
that unwanted off-target affinity to hMOP receptor could be designed out. The development of
a homology model for hCB2R (based on a novel hCB1R crystal) could further elucidate the
mode of action of the ligand binding. Lastly, first in vivo studies showed a beneficial effect of
selected dual-acting compounds regarding memory and cognition.
Since these first in vivo studies mainly aim for an inhibition of the BChE, it should be the aim
of upcoming projects to proof the relevance of hCB2R agonism in vivo as well. In addition,
pharmacokinetic as well as solubility studies may help to complete the overall picture.
Currently, hybrid-based dual-acting hCB2R agonists and selective BChE inhibitors are under
investigation in our lab. First in vitro evaluations showed improved BChE inhibition and
selectivity over AChE compared to tacrine.78 Future in vitro and in vivo studies will clarify their
usage as drug molecules with regard to hepatotoxicity and blood-brain barrier penetration.
Since the role of hCB2R is not yet completely elucidated, the use of photochromic toolcompounds
becomes an area of interest. These tool-compounds (and their biological effect) can
be triggered upon irradiation with light and thus help to investigate time scales and ligand
binding.
A set of 5-azobenzene benzimidazoles was developed and synthesized. In radioligand binding
studies, affinity towards hCB2R could be increased upon irradiation with UV-light (figure 6.2).
This makes the investigated compounds the first GPCR ligands that can be activated upon
irradiation (not vice versa).
The aim of upcoming research will be the triggering of a certain intrinsic activity by an
“efficacy-switch”. For this purpose, several attempts are currently under investigation: an
introduction of an azobenzene moiety at the 2-position of the benzimidazole core already led to
a slight difference in efficacy upon irradiation with UV light. Another approach going on in our
lab is the development of hCB1R switches based on the selective hCB1R inverse agonist
rimonabant. First in vitro results are not yet available (figure 6.3).
\textbf{Molecular Determinants of Drug-Target Residence Times of Bacterial Enoyl-ACP Reductases.} Whereas optimization processes of early drug discovery campaigns are often affinity-driven, the drug-target residence time $t_R$ should also be considered due to an often strong correlation with \textit{in vivo} efficacy of compounds. However, rational optimization of $t_R$ is not straightforward and generally hampered by the lack of structural information about the transition states of ligand association and dissociation. The enoyl-ACP reductase FabI of the fatty acid synthesis (FAS) type II is an important drug-target in antibiotic research. InhA is the FabI enzyme of \textit{Mycobacterium tuberculosis}, which is known to be inhibited by various compound classes. Slow-onset inhibition of InhA is assumed to be associated with the ordering of the most flexible protein region, the substrate binding loop (SBL). Diphenylethers are one class of InhA inhibitors that can promote such SBL ordering, resulting in long drug-target residence times. Although these inhibitors are energetically and kinetically well characterized, it is still unclear how the structural features of a ligand affect $t_R$.
Using classical molecular dynamics (MD) simulations, recurring conformational families of InhA protein-ligand complexes were detected and structural determinants of drug-target residence time of diphenyl\-ethers with different kinetic profiles were described. This information was used to deduce guidelines for efficacy improvement of InhA inhibitors, including 5'-substitution on the diphenylether B-ring. The validity of this suggestion was then analyzed by means of MD simulations.
Moreover, Steered MD (SMD) simulations were employed to analyze ligand dissociation of diphenylethers from the FabI enzyme of \textit{Staphylococcus aureus}. This approach resulted in a very accurate and quantitative linear regression model of the experimental $ln(t_R)$ of these inhibitors as a function of the calculated maximum free energy change of induced ligand extraction. This model can be used to predict the residence times of new potential inhibitors from crystal structures or valid docking poses.
Since correct structural characterization of the intermediate enzyme-inhibitor state (EI) and the final state (EI*) of two-step slow-onset inhibition is crucial for rational residence time optimization, the current view of the EI and EI* states of InhA was revisited by means of crystal structure analysis, MD and SMD simulations. Overall, the analyses affirmed that the EI* state is a conformation resembling the 2X23 crystal structure (with slow-onset inhibitor \textbf{PT70}), whereas a twist of residues Ile202 and Val203 with a further opened helix $\alpha 6$ corresponds to the EI state. Furthermore, MD simulations emphasized the influence of close contacts to symmetry mates in the SBL region on SBL stability, underlined by the observation that an MD simulation of \textbf{PT155} chain A with chain B' of a symmetry mate in close proximity of the SBL region showed significantly more stable loops, than a simulation of the tetrameric assembly. Closing Part I, SMD simulations were employed which allow the delimitation of slow-onset InhA inhibitors from rapid reversible ligands.
\textbf{Prediction of \textit{Mycobacterium tuberculosis} Cell Wall Permeability.} The cell wall of \textit{M. tuberculosis} hampers antimycobacterial drug design due to its unique composition, providing intrinsic antibiotic resistance against lipophilic and hydrophilic compounds. To assess the druggability space of this pathogen, a large-scale data mining endeavor was conducted, based on multivariate statistical analysis of differences in the physico-chemical composition of a normally distributed drug-like chemical space and a database of antimycobacterial--and thus very likely permeable--compounds. The approach resulted in the logistic regression model MycPermCheck, which is able to predict the permeability probability of small organic molecules based on their physico-chemical properties. Evaluation of MycPermCheck suggests a high predictive power. The model was implemented as a freely accessible online service and as a local stand-alone command-line version.
Methodologies and findings from both parts of this thesis were combined to conduct a virtual screening for antimycobacterial substances. MycPermCheck was employed to screen the chemical permeability space of \textit{M. tuberculosis} from the entire ZINC12 drug-like database. After subsequent filtering steps regarding ADMET properties, InhA was chosen as an exemplary target. Docking to InhA led to a principal hit compound, which was further optimized. The quality of the interaction of selected derivatives with InhA was subsequently evaluated using MD and SMD simulations in terms of protein and ligand stability, as well as maximum free energy change of induced ligand egress. The results of the presented computational experiments suggest that compounds with an indole-3-acethydrazide scaffold might constitute a novel class of InhA inhibitors, worthwhile of further investigation.