Refine
Year of publication
- 2010 (2871) (remove)
Document Type
- Article (1005)
- Doctoral Thesis (378)
- Part of Periodical (340)
- Book (338)
- Part of a Book (264)
- Review (145)
- Contribution to a Periodical (144)
- Working Paper (84)
- Report (71)
- Conference Proceeding (31)
Language
- German (1759)
- English (855)
- mis (105)
- Portuguese (62)
- French (32)
- Croatian (29)
- Multiple languages (12)
- Italian (7)
- dut (3)
- Spanish (3)
Keywords
- Mosambik (114)
- Mozambique (114)
- Moçambique (113)
- Filmmusik (96)
- Deutsch (80)
- Christentum (65)
- Bibel (63)
- bible (63)
- christianity (63)
- Literatur (48)
Institute
- Extern (316)
- Medizin (292)
- Präsidium (235)
- Gesellschaftswissenschaften (99)
- Biowissenschaften (98)
- Biochemie und Chemie (97)
- Physik (87)
- Geschichtswissenschaften (68)
- Geowissenschaften (59)
- Wirtschaftswissenschaften (54)
This work investigated the applicability of global pairwise sequence alignment to the detection of functional analogues in virtual screening. This variant of sequence comparison was developed for the identification of homologue proteins based on amino acid or nucleotide sequences. Because of the significant differences between biopolymers and small molecules several aspects of this approach for sequence comparison had to be adapted. All proposed concepts were implemented as the ‘Pharmacophore Alignment Search Tool’ (PhAST) and evaluated in retrospective experiments on the COBRA dataset in version 6.1. The aim to identify functional analogues raised the necessity for identification and classification of functional properties in molecular structures. This was realized by fragment-based atom-typing, where one out of nine functional properties was assigned to each non-hydrogen atom in a structure. These properties were pre-assigned to atoms in the fragments. Whenever a fragment matched a substructure in a molecule, the assigned properties were transferred from fragment atoms to structure atoms. Each functional property was represented by exactly one symbol. Unlike amino acid or nucleotide sequences, small drug-like molecules contain branches and cycles. This was a major obstacle in the application of sequence alignment to virtual screening, since this technique can only be applied to linear sequences of symbols. The best linearization technique was shown to be Minimum Volume Embedding. To the best of knowledge, this work represents the first application of dimensionality reduction to graph linearization. Sequence alignment relies on a scoring system that rates symbol equivalences (matches) and differences (mismatches) based on functional properties that correspond to rated symbols. Existing scoring schemes are applicable only to amino acids and nucleotides. In this work, scoring schemes for functional properties in drug-like molecules were developed based on property frequencies and isofunctionality judged from chemical experience, pairwise sequence alignments, pairwise kernel-based assignments and stochastic optimization. The scoring system based on property frequencies and isofunctionality proved to be the most powerful (measured in enrichment capability). All developed scoring systems performed superior compared to simple scoring approaches that rate matches and mismatches uniformly. The frameworks proposed for score calculations can be used to guide modifications to the atom-typing in promising directions. The scoring system was further modified to allow for emphasis on particular symbols in a sequence. It was proven that the application of weights to symbols that correspond to key interaction points important to receptor-ligand-interaction significantly improves screening capabilities of PhAST. It was demonstrated that the systematic application of weights to all sequence positions in retrospective experiments can be used for pharmacophore elucidation. A scoring system based on structural instead of functional similarity was investigated and found to be suitable for similarity searches in shape-constrained datasets. Three methods for similarity assessment based on alignments were evaluated: Sequence identity, alignment score and significance. PhAST achieved significantly higher enrichment with alignment scores compared to sequence identity. p-values as significance estimates were calculated in a combination of Marcov Chain Monte Carlo Simulation and Importance Sampling. p-values were adapted to library size in a Bonferroni correction, yielding E-values. A significance threshold of an E-value of 1*10-5 was proposed for the application in prospective screenings. PhAST was compared to state-of-the-art methods for virtual screening. The unweighted version was shown to exhibit comparable enrichment capabilities. Compound rankings obtained with PhAST were proven to be complementary to those of other methods. The application to three-dimensional instead of two-dimensional molecular representations resulted in altered compound rankings without increased enrichment. PhAST was employed in two prospective applications. A screening for non-nucleoside analogue inhibitors of bacterial thymidin kinase yielded a hit with a distinct structural framework but only weak activity. The search for drugs not member of the NSAID (non-steroidal anti-inflammatory drug) class as modulators of gamma-secretase resulted in a potent modulator with clear structural distiction from the reference compound. The calculation of significance estimates, emphasizing on key interactions, the pharmacophore elucidation capabilities and the unique compound rannkings set PhAST apart from other screening techniques.
Apoptotic cell (AC)-derived factors alter the physiology of macrophages (M Phi s) towards a regulatory phenotype that is characterized by enhanced production of anti-inflammatory mediators, an attenuated pro-inflammatory cytokine profile and reduced nitric oxide (NO) formation. Impaired NO production in response to ACs or AC-conditioned medium (CM) is facilitated by arginase II (ARG II) expression, which competes with inducible NO synthase for L-arginine. In this study, I investigated the signaling pathway that allowed CM to upregulate ARG II in M Phi s. A sphingolipid, further identified as sphingosine-1-phosphate (S1P), was required but authentic S1P alone only produced small effects. S1P acted synergistically with a so far unidentified factor to elicit high ARG II expression. S1P signaled through S1P receptor 2 (S1P2), since the S1P2-antagonist JTE013 and siRNA knock-down of S1P2 prevented ARG II upregulation. Further, inhibition and knock-down of extracellular signal-regulated kinase 5 (ERK5) attenuated CM-mediated ARG II protein induction. Exploring ERK5-dependent transcriptional regulation, promoter deletion and luciferase reporter analysis of the murine ARG II promoter (mpARG II) suggested the involvement of cyclic adenosine monophosphate (cAMP) responsive element binding protein (CREB). This was confirmed by EMSA analysis and decoyoligonucleotides scavenging CREB, thereby preventing it from activating target genes and thus, blocking ARG II expression. I concluded that AC-derived S1P binds to S1P2 and acts synergistically with other factors to activate ERK5 and concomitantly CREB. This signaling cascade shapes an anti-inflammatory M Phi phenotype by ARG II induction. Further investigations of ERK5-dependent CREB activation suggested an indirect mechanism implying that ERK5 inhibited phosphodiesterase 4 (PDE4) and thus, prevented hydrolysis of cAMP. Since S1P-dependent ERK5 activation presumably inhibited PDE4, subsequent cAMP accumulation led to enhanced PKA activity and CREB-mediated transcription. The unidentified factor(s) besides S1P probably provoked the required elevation of cAMP production in M Phi s. Indeed, pharmacological inhibition of cAMP-producing adenylyl cyclase with SQ22536 as well as cAMP-dependent protein kinase A (PKA) with KT5720 suggested cAMP to be involved in CM-mediated ARG II up-regulation. Furthermore, forskolin-dependent activation of adenyly cyclase and simultaneous rolipram-mediated inhibition of PDE4 mimicked CM-induced ARG II expression. Considering these findings, I propose that one or several unidentified factors in CM provoke cAMP production in M Phi s. In parallel, AC-derived S1P activates ERK5, which inhibits PDE4-dependent cAMP hydrolysis, further raising intracellular cAMP levels. Thus, unrestricted continuous cAMP signaling via PKA/CREB, results in a time-dependent and sustained ARG II induction.