Dokument-ID Dokumenttyp Verfasser/Autoren Herausgeber Haupttitel Abstract Auflage Verlagsort Verlag Erscheinungsjahr Seitenzahl Schriftenreihe Titel Schriftenreihe Bandzahl ISBN Quelle der Hochschulschrift Konferenzname Quelle:Titel Quelle:Jahrgang Quelle:Heftnummer Quelle:Erste Seite Quelle:Letzte Seite URN DOI Abteilungen OPUS4-56139 Wissenschaftlicher Artikel Schmidt, Marco F.; Korb, Oliver; Abell, Chris Antagonists of the miRNA-Argonaute 2 Protein Complex microRNAs (miRNAs) have been identified as high-value drug targets. A widely applied strategy in miRNA inhibition is the use of antisense agents. However, it has been shown that oligonucleotides are poorly cell permeable because of their complex chemical structure and due to their negatively charged backbone. Consequently, the general application of oligonucleotides in therapy is limited. Since miRNAs' functions are executed exclusively by the Argonaute 2 protein, we therefore describe a protocol for the design of a novel miRNA inhibitor class: antagonists of the miRNA-Argonaute 2 protein complex, so-called anti-miR-AGOs, that not only block the crucial binding site of the target miRNA but also bind to the protein's active site. Due to their lower molecular weight and, thus, more drug-like chemical structure, the novel inhibitor class may show better pharmacokinetic properties than reported oligonucleotide inhibitors, enabling them for potential therapeutic use. New York Springer 2017 11 Drug Target miRNA: Methods and Protocols 1517 978-1-4939-6563-2 239 249 10.1007/978-1-4939-6563-2_17 Institut für Chemie OPUS4-56273 Wissenschaftlicher Artikel Schmidt, Marco F. miRNA Targeting Drugs Only 20 years after the discovery of small non-coding, single-stranded ribonucleic acids, so-called microRNAs (miRNAs), as post-transcriptional gene regulators, the first miRNA-targeting drug Miravirsen for the treatment of hepatitis C has been successfully tested in clinical Phase II trials. Addressing miRNAs as drug targets may enable the cure, or at least the treatment of diseases, which presently seems impossible. However, due to miRNAs' chemical structure, generation of potential drug molecules with necessary pharmacokinetic properties is still challenging and requires a re-thinking of the drug discovery process. Therefore, this chapter highlights the potential of miRNAs as drug targets, discusses the challenges, and tries to give a complete overview of recent strategies in miRNA drug discovery. New York Springer 2017 20 Drug Target miRNA: Methods and Protocols 1517 978-1-4939-6563-2 3 22 10.1007/978-1-4939-6563-2_1 Institut für Biochemie und Biologie OPUS4-56461 Teil eines Buches Schmidt, Marco F. Schmidt, Marco F. Preface New York Springer 2017 1 Drug target miRNA 1517 978-1-4939-6563-2 V V 10.1007/978-1-4939-6563-2 Institut für Biochemie und Biologie OPUS4-16257 Wissenschaftlicher Artikel Schmidt, Marco; Badtke, Gernot; Bittmann, Frank N. Inhibitionen im neuromuskulären Reflexbogen als ein Faktor für rezidivierende Sportverletzungen und Überlastungsfolgen 2003 Department Sport- und Gesundheitswissenschaften OPUS4-17107 Wissenschaftlicher Artikel Badtke, Gernot; Bittmann, Frank N.; Schmidt, Marco Inhibitionen in neuromuskulären Reflexbogen als Faktor für redivierende Sportverletzungen und Überlastungsfolgen 2002 Department Sport- und Gesundheitswissenschaften OPUS4-58682 Wissenschaftlicher Artikel Cope, Justin L.; Baukmann, Hannes A.; Klinger, Jörn E.; Ravarani, Charles N. J.; Böttinger, Erwin; Konigorski, Stefan; Schmidt, Marco F. Interaction-based feature selection algorithm outperforms polygenic risk score in predicting Parkinson's Disease status Polygenic risk scores (PRS) aggregating results from genome-wide association studies are the state of the art in the prediction of susceptibility to complex traits or diseases, yet their predictive performance is limited for various reasons, not least of which is their failure to incorporate the effects of gene-gene interactions. Novel machine learning algorithms that use large amounts of data promise to find gene-gene interactions in order to build models with better predictive performance than PRS. Here, we present a data preprocessing step by using data-mining of contextual information to reduce the number of features, enabling machine learning algorithms to identify gene-gene interactions. We applied our approach to the Parkinson's Progression Markers Initiative (PPMI) dataset, an observational clinical study of 471 genotyped subjects (368 cases and 152 controls). With an AUC of 0.85 (95% CI = [0.72; 0.96]), the interaction-based prediction model outperforms the PRS (AUC of 0.58 (95% CI = [0.42; 0.81])). Furthermore, feature importance analysis of the model provided insights into the mechanism of Parkinson's disease. For instance, the model revealed an interaction of previously described drug target candidate genes TMEM175 and GAPDHP25. These results demonstrate that interaction-based machine learning models can improve genetic prediction models and might provide an answer to the missing heritability problem. Lausanne Frontiers Media 2021 9 Frontiers in genetics 12 10.3389/fgene.2021.744557 Hasso-Plattner-Institut für Digital Engineering gGmbH OPUS4-23879 Wissenschaftlicher Artikel Badtke, Gernot; Bittmann, Frank N.; Schmidt, Marco; Steuer, M Ein neues Verfahren zur objektiven Bestimmung der äußeren Wirbelsäulenkurvatur in der Sagittalebene 1997 Department Sport- und Gesundheitswissenschaften OPUS4-23848 Wissenschaftlicher Artikel Schmidt, Marco; Bittmann, Frank N.; Lazik, Dieter Untersuchungen des Zusammenhangs von äußerer Wirbelsäulenkurvatur und Funktion der posturalen Muskulatur 1997 Department Sport- und Gesundheitswissenschaften OPUS4-23209 Buch (Monographie) Schmidt, Marco; Badtke, Gernot; Bittmann, Frank N.; Steuer, M. A new approach for objektive determination of the external spine profile in the sagittal plane 1998 Department Sport- und Gesundheitswissenschaften OPUS4-31458 Wissenschaftlicher Artikel Schmidt, Marco; Hennke, Thomas; Knochel, Mira; Kurten, Achim; Hierholzer, Johannes; Daniel, Peter; Bittmann, Frank N. Can chronic irritations of the trigeminal nerve cause musculoskeletal disorders? In this article, five cases of odontogenous dysfunctions and musculoskeletal complaints are presented. A common finding in all patients of this study was that the presence of joint complaints was related to deficits in the corresponding muscular function. These deficits were determined by manual muscle tests as described by Kendall et al. [Muscles - Testing and Function, ed 4. Baltimore, Williams and Wilkins, 1993] and were eliminated immediately by a neural therapeutic test injection into the disturbed dental region. The therapy provided solely aimed to eliminate the odontogenous dysfunction. No other therapeutic measures were carried out with regard to the patients' respective muscle, tendon, or joint complaints. 2010 10.1159/000315338 Department Sport- und Gesundheitswissenschaften OPUS4-20886 Dissertation Schmidt, Marco Objektive Bestimmung der äußeren Wirbelsäulenkontur in der Sagittalebene : funktionelle Interaktionen geometrischer und statischer Merkmale von Wirbelsäulenkonturen 1999 IV, 100 S., [50] Bl. : graph. Darst. Department Sport- und Gesundheitswissenschaften