@article{KnoedlerRuehlEmontsetal.2019, author = {Kn{\"o}dler, Matthias and R{\"u}hl, Clemens and Emonts, Jessica and Buyel, Johannes Felix}, title = {Seasonal weather changes affect the yield and quality of recombinant proteins produced in transgenic tobacco plants in a greenhouse setting}, series = {Frontiers in Plant Science}, journal = {Frontiers in Plant Science}, number = {10}, publisher = {Frontiers Media}, address = {Lausanne}, issn = {1664-462X (online-ressource)}, doi = {10.3389/fpls.2019.01245}, pages = {13 Seiten}, year = {2019}, abstract = {Transgenic plants have the potential to produce recombinant proteins on an agricultural scale, with yields of several tons per year. The cost-effectiveness of transgenic plants increases if simple cultivation facilities such as greenhouses can be used for production. In such a setting, we expressed a novel affinity ligand based on the fluorescent protein DsRed, which we used as a carrier for the linear epitope ELDKWA from the HIV-neutralizing antibody 2F5. The DsRed-2F5-epitope (DFE) fusion protein was produced in 12 consecutive batches of transgenic tobacco (Nicotiana tabacum) plants over the course of 2 years and was purified using a combination of blanching and immobilized metal-ion affinity chromatography (IMAC). The average purity after IMAC was 57 ± 26\% (n = 24) in terms of total soluble protein, but the average yield of pure DFE (12 mg kg-1) showed substantial variation (± 97 mg kg-1, n = 24) which correlated with seasonal changes. Specifically, we found that temperature peaks (>28°C) and intense illuminance (>45 klx h-1) were associated with lower DFE yields after purification, reflecting the loss of the epitope-containing C-terminus in up to 90\% of the product. Whereas the weather factors were of limited use to predict product yields of individual harvests conducted for each batch (spaced by 1 week), the average batch yields were well approximated by simple linear regression models using two independent variables for prediction (illuminance and plant age). Interestingly, accumulation levels determined by fluorescence analysis were not affected by weather conditions but positively correlated with plant age, suggesting that the product was still expressed at high levels, but the extreme conditions affected its stability, albeit still preserving the fluorophore function. The efficient production of intact recombinant proteins in plants may therefore require adequate climate control and shading in greenhouses or even cultivation in fully controlled indoor farms.}, language = {en} } @article{BernauKnoedlerEmontsetal.2022, author = {Bernau, C. R. and Kn{\"o}dler, Matthias and Emonts, Jessica and J{\"a}pel, Ronald Colin and Buyel, Johannes Felix}, title = {The use of predictive models to develop chromatography-based purification processes}, series = {Frontiers in Bioengineering and Biotechnology}, journal = {Frontiers in Bioengineering and Biotechnology}, number = {10}, publisher = {Frontiers Media}, address = {Lausanne}, issn = {2296-4185 (online-ressource)}, doi = {10.3389/fbioe.2022.1009102}, pages = {25 Seiten}, year = {2022}, abstract = {Chromatography is the workhorse of biopharmaceutical downstream processing because it can selectively enrich a target product while removing impurities from complex feed streams. This is achieved by exploiting differences in molecular properties, such as size, charge and hydrophobicity (alone or in different combinations). Accordingly, many parameters must be tested during process development in order to maximize product purity and recovery, including resin and ligand types, conductivity, pH, gradient profiles, and the sequence of separation operations. The number of possible experimental conditions quickly becomes unmanageable. Although the range of suitable conditions can be narrowed based on experience, the time and cost of the work remain high even when using high-throughput laboratory automation. In contrast, chromatography modeling using inexpensive, parallelized computer hardware can provide expert knowledge, predicting conditions that achieve high purity and efficient recovery. The prediction of suitable conditions in silico reduces the number of empirical tests required and provides in-depth process understanding, which is recommended by regulatory authorities. In this article, we discuss the benefits and specific challenges of chromatography modeling. We describe the experimental characterization of chromatography devices and settings prior to modeling, such as the determination of column porosity. We also consider the challenges that must be overcome when models are set up and calibrated, including the cross-validation and verification of data-driven and hybrid (combined data-driven and mechanistic) models. This review will therefore support researchers intending to establish a chromatography modeling workflow in their laboratory.}, language = {en} } @article{EmontsBuyel2023, author = {Emonts, Jessica and Buyel, Johannes Felix}, title = {An overview of descriptors to capture protein properties - Tools and perspectives in the context of QSAR modeling}, series = {Computational and Structural Biotechnology Journal}, journal = {Computational and Structural Biotechnology Journal}, number = {21}, publisher = {Research Network of Computational and Structural Biotechnology}, address = {Gotenburg}, issn = {2001-0370 (online-ressource)}, doi = {10.1016/j.csbj.2023.05.022}, pages = {3234 -- 3247}, year = {2023}, abstract = {Proteins are important ingredients in food and feed, they are the active components of many pharmaceutical products, and they are necessary, in the form of enzymes, for the success of many technical processes. However, production can be challenging, especially when using heterologous host cells such as bacteria to express and assemble recombinant mammalian proteins. The manufacturability of proteins can be hindered by low solubility, a tendency to aggregate, or inefficient purification. Tools such as in silico protein engineering and models that predict separation criteria can overcome these issues but usually require the complex shape and surface properties of proteins to be represented by a small number of quantitative numeric values known as descriptors, as similarly used to capture the features of small molecules. Here, we review the current status of protein descriptors, especially for application in quantitative structure activity relationship (QSAR) models. First, we describe the complexity of proteins and the properties that descriptors must accommodate. Then we introduce descriptors of shape and surface properties that quantify the global and local features of proteins. Finally, we highlight the current limitations of protein descriptors and propose strategies for the derivation of novel protein descriptors that are more informative.}, language = {en} } @article{RakeEnningKurthetal.1994, author = {Rake, Heinrich and Enning, Manfred and Kurth, Johannes and Schr{\"o}der, Walter}, title = {Automatic uncoupler completes automation at the hump}, series = {RGI - Railway Gazette International}, volume = {150}, journal = {RGI - Railway Gazette International}, number = {6}, publisher = {Reed Business}, address = {Sutton}, issn = {0373-5346}, pages = {371 -- 374}, year = {1994}, language = {en} } @article{RakeSchwanhaeusserFrederichetal.1993, author = {Rake, Heinrich and Schwanh{\"a}ußer, Wulf and Frederich, Fritz and Enning, Manfred}, title = {Automatisierung von Ablaufanlagen mit dem Kupplungsroboter}, series = {ETR - Eisenbahntechnische Rundschau}, journal = {ETR - Eisenbahntechnische Rundschau}, number = {4}, publisher = {DVV Media Group}, address = {Hamburg}, issn = {0013-2845}, pages = {249 -- 254}, year = {1993}, language = {de} } @article{ManfredMaySutter2020, author = {Manfred, Enning and May, J{\"o}rg and Sutter, Stefan}, title = {Innovation am G{\"u}terwagen am Beispiel der Automatischen Bremsprobe}, series = {ETR - Eisenbahntechnische Rundschau}, journal = {ETR - Eisenbahntechnische Rundschau}, number = {12}, publisher = {DVV Media Group}, address = {Hamburg}, issn = {0013-2845}, pages = {14 -- 19}, year = {2020}, abstract = {Mit der Digitalen Automatischen Kupplung beginnt ein neues Kapitel des Schieneng{\"u}terverkehrs, in dem zusammengestellte Wagen sich automatisch in wenigen Minuten abfahrbereit machen, ohne dass der Mensch eingreifen muss. Eines des gr{\"o}ßten Hemmnisse der umweltfreundlichen Schiene wird dann entfallen. Notwendig ist jetzt eine Diskussion {\"u}ber den Umfang und die Systemgrenzen der Automatischen Bremsprobe.}, language = {de} } @article{EnningSchmidtWilbring2019, author = {Enning, Manfred and Schmidt, Bernd and Wilbring, Daniela}, title = {Auf dem Weg zur autonomen Anschlussbedienung}, series = {Privatbahn-Magazin}, journal = {Privatbahn-Magazin}, number = {3}, publisher = {Bahn Media}, address = {Suhlendorf}, issn = {1865-0163}, pages = {40 -- 43}, year = {2019}, language = {de} } @article{EnningPfaff2017, author = {Enning, Manfred and Pfaff, Raphael}, title = {G{\"u}terwagen 4.0 - Mehr als nur technischer Fortschritt}, series = {Privatbahn-Magazin}, journal = {Privatbahn-Magazin}, number = {2}, publisher = {Bahn Media}, address = {Suhlendorf}, issn = {1865-0163}, pages = {21 -- 25}, year = {2017}, abstract = {Lokomotiven sind dank modernster Konzepte der Antriebstechnik heute energiesparend und umweltfreundlich. Eine Ausr{\"u}stung mit Telematik und Assistenzfunktionen ist Standard. Auf der Strecke zeigt sich moderne Technik in Form elektronischer Stellwerke und Zugsicherungssysteme und in Rangier- und Abstellanlagen als EOW-Technik. Am G{\"u}terwagen hingegen ist der technische Fortschritt komplett vorbeigegangen. Auch beim modernsten Wagen (Abb. 1) ist die einzige „Automatik"-Funktion die zentral {\"u}ber die Hauptluftleitung (HL) versorgte und bet{\"a}tigte Luftbremse.}, language = {de} } @article{EnningPfaff2016, author = {Enning, Manfred and Pfaff, Raphael}, title = {Digitalisierung bringt mehr G{\"u}ter auf die Schiene}, series = {Sonderprojekte ATM/MTZ}, volume = {21}, journal = {Sonderprojekte ATM/MTZ}, number = {6 (suppl.)}, publisher = {Springer Fachmedien}, address = {Wiesbaden}, issn = {2509-4610}, doi = {10.1007/s41491-016-0570-7}, pages = {34 -- 37}, year = {2016}, language = {de} } @article{EichlerBalcBremenetal.2024, author = {Eichler, Fabian and Balc, Nicolae and Bremen, Sebastian and Nink, Philipp}, title = {Investigation of laser powder bed fusion parameters with respect to their influence on the thermal conductivity of 316L samples}, series = {Journal of Manufacturing and Materials Processing}, volume = {8}, journal = {Journal of Manufacturing and Materials Processing}, number = {4}, publisher = {MDPI}, address = {Basel}, issn = {2504-4494}, doi = {10.3390/jmmp8040166}, pages = {12 Seiten}, year = {2024}, abstract = {The thermal conductivity of components manufactured using Laser Powder Bed Fusion (LPBF), also called Selective Laser Melting (SLM), plays an important role in their processing. Not only does a reduced thermal conductivity cause residual stresses during the process, but it also makes subsequent processes such as the welding of LPBF components more difficult. This article uses 316L stainless steel samples to investigate whether and to what extent the thermal conductivity of specimens can be influenced by different LPBF parameters. To this end, samples are set up using different parameters, orientations, and powder conditions and measured by a heat flow meter using stationary analysis. The heat flow meter set-up used in this study achieves good reproducibility and high measurement accuracy, so that comparative measurements between the various LPBF influencing factors to be tested are possible. In summary, the series of measurements show that the residual porosity of the components has the greatest influence on conductivity. The degradation of the powder due to increased recycling also appears to be detectable. The build-up direction shows no detectable effect in the measurement series.}, language = {en} }