@phdthesis{Dolles2018,
  author    = {Dolles, Dominik},
  title     = {Development of Hybrid GPCR Ligands: Photochromic and Butyrylcholinesterase Inhibiting Human Cannabinoid Receptor 2 Agonists},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-163445},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2018},
  abstract  = {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).},
  subject      = {Ligand <Biochemie>},
  language  = {en}
}
@phdthesis{Merget2015,
  author    = {Merget, Benjamin},
  title     = {Computational methods for assessing drug-target residence times in bacterial enoyl-ACP reductases and predicting small-molecule permeability for the \(Mycobacterium\) \(tuberculosis\) cell wall},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-127386},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2015},
  abstract  = {\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.},
  subject      = {Computational chemistry},
  language  = {en}
}
@phdthesis{Narkhede2018,
  author    = {Narkhede, Yogesh},
  title     = {In silico structure-based optimisation of pyrrolidine carboxamides as Mycobacterium tuberculosis enoyl-ACP reductase inhibitors},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-152468},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2018},
  abstract  = {The high infection rates and recent emergence of extremely drug resistant forms of Mycobacterium tuberculosis pose a significant challenge for global health. The NADH- dependent enoyl-ACP-reductase InhA of the type II mycobacterial fatty acid biosynthesis pathway is a well-validated target for inhibiting mycobacterial growth. InhA has been shown to be inhibited by a variety of compound series. Prominent classes of InhA inhibitors from literature include diaryl ethers, pyrrolidine carboxamides and arylamides which can be subjected to further development. Despite the progress in this area, very few compounds are in clinical development phase. The present work involves a detailed computational investigation of the binding modes and structure-based optimisation of pyrrolidine carboxamides as InhA inhibitors. With substituents of widely varying bulkiness, the pyrrolidine carboxamide dataset presented a challenge for prediction of binding mode as well as affinity. Using advanced docking protocols and in-house developed pose selection procedures, the binding modes of 44 compounds were predicted. The poses from docking were used in short molecular dynamics (MD) simulations to ascertain the dominant binding conformations for the bulkier members of the series. Subsequently, an activity-based classification strategy could be developed to circumvent the affinity prediction problems observed with this dataset. The prominent motions of the bound ligand and the active site residues were then ascertained using Essential Dynamics (ED). The information from ED and literature was subsequently used to design a total of 20 compounds that were subjected to extensive in-silico evaluations. Finally, the molecular determinants of rapid-reversible binding of pyrrolidine carboxamides were investigated using long MD simulations.},
  subject      = {Tuberkelbakterium},
  language  = {en}
}
@phdthesis{He2024,
  author    = {He, Feng},
  title     = {Drug Discovery based on Oxidative Stress and HDAC6 for Treatment of Neurodegenerative Diseases},
  doi       = {10.25972/OPUS-25349},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-253497},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {Most antioxidants reported so far only achieved limited success in AD clinical trials. Growing evidences suggest that merely targeting oxidative stress will not be sufficient to fight AD. While multi-target directed ligands could synergistically modulate different steps in the neurodegenerative process, offering a promising potential for treatment of this complex disease. Fifteen target compounds have been designed by merging melatonin and ferulic acid into the cap group of a tertiary amide HDAC6 inhibitor. Compound 10b was screened as the best hybrid molecule exhibit potent HDAC6 inhibition and potent antioxidant capacity. Compound 10b also alleviated LPS-induced microglia inflammation and led to a switch from neurotoxic M1 to the neuroprotective M2 microglial phenotype. Moreover, compound 10b show pronounced attenuation of spatial working memory and long-term memory damage in an in vivo AD mouse model. Compound 10b can be a potentially effective drug candidate for treatment of AD and its druggability worth to be further studied. We have designed ten novel neuroprotectants by hybridizing with several common antioxidants, including ferulic acid, melatonin, lipoic acid, and trolox. The trolox hybrid compound exhibited the most potent neuroprotective effects in multiple neuroprotection assays. Besides, we identified the synergistic effects between trolox and vitamin K derivative, and our trolox hybrid compound showed comparable neuroprotection with the mixture of trolox and vitamin K derivative. We have designed and synthesized 24 quinone derivatives based on five kinds of different quinones including ubiquinone, 2,3,5-trimethyl-1,4-benzoquinone, memoquin, thymoquinone, and anthraquinone. Trimethylbenzoquinone and thymoquinone derivatives showed more potent neuroprotection than other quinones in oxytosis assay. Therefore, trimethylbenzoquinone and thymoquinone derivatives can be used as lead compounds for further mechanism study and drug discovery for treatment of neurodegenerative disease. We designed a series of photoswitchable HDAC inhibitors, which could be effective molecular tools due to the high spatial and temporal resolution. In total 23 target compounds were synthesized and photophysicochemically characterized. Azoquinoline-based compounds possess more thermally stable cis-isomers in buffer solution, which were further tested in enzyme-based HDAC inhibition assay. However, none of those tested compounds show significant differences in activities between trans-isomers and corresponding cis-isomers.},
  subject      = {Alzheimerkrankheit},
  language  = {en}
}