L
Lars M. Blank
Researcher at RWTH Aachen University
Publications - 355
Citations - 10606
Lars M. Blank is an academic researcher from RWTH Aachen University. The author has contributed to research in topics: Chemistry & Pseudomonas putida. The author has an hindex of 49, co-authored 301 publications receiving 8011 citations. Previous affiliations of Lars M. Blank include University of Marburg & Technical University of Dortmund.
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Metabolic engineering of microbial hosts for the biosynthesis of high molecular weight hyaluronan
TL;DR: By synthetic biology means, the use of the alternative carbon sources sucrose and N-acetylglucosamine, directly feeding into the precursor synthesis pathways, was aimed at establishing a microbial host for high MW hyaluronan production.
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Auto-induction Screening Protocol for Ranking Clonal Libraries of Pichia pastoris MutS Strains
David Wollborn,Rebecca Luise Müller,Lara Munkler,Rebekka Horstmann,Andrea Germer,Lars M. Blank,Jochen Büchs +6 more
TL;DR: It is demonstrated that the auto-induction method facilitates the identification of high producers during primary screening, significantly less time consuming and labor intensive than the conventional screening with manual methanol additions.
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Data-driven personalization of a physiologically based pharmacokinetic model for caffeine: A systematic assessment
Rebekka Fendt,Rebekka Fendt,Ute Hofmann,Ute Hofmann,Annika R. P. Schneider,Annika R. P. Schneider,Elke Schaeffeler,Elke Schaeffeler,Rolf Burghaus,Ali Yilmaz,Lars M. Blank,Reinhold Kerb,Reinhold Kerb,Jörg Lippert,Jan-Frederik Schlender,Matthias Schwab,Matthias Schwab,Lars Kuepfer,Lars Kuepfer +18 more
TL;DR: In this paper, a personalized pharmacokinetic (PBPK) model of caffeine was developed by using individual data on demography, physiology, and cytochrome P450 (CYP) 1A2 phenotype of 48 healthy volunteers participating in a single-dose clinical study.
Posted ContentDOI
A physiology-based model of bile acid metabolism shows altered tissue concentrations after drug administration and in specific genotype subgroups
TL;DR: The developed physiology-based bile acid (PBBA) model enhances the mechanistic understanding of cholestasis, allows the identification of drug-interactions leading to altered BA levels in blood and organs, and could be used to prevent clinical cases of chollestasis and enhance patient safety.
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Early prediction of decompensation (EPOD) score: Non‐invasive determination of cirrhosis decompensation risk
Annika R. P. Schneider,Carolin V. Schneider,Kai Markus Schneider,Vanessa Baier,Steffen Schaper,Christian Diedrich,Katrin Coboeken,Hannah Mayer,Wenyi Gu,Jonel Trebicka,Lars M. Blank,Rolf Burghaus,Joerg Lippert,Daniel J. Rader,Christoph A. Thaiss,Jan-Frederik Schlender,Christian Trautwein,Lars Kuepfer +17 more
TL;DR: This study aims to identify the predictors of decompensation in a large, multicentric cohort of patients with compensated cirrhosis, to build a reliable prognostic score for decompensation and to evaluate the score in independent cohorts.