Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Martin Voigtmann"'
Autor:
Cornelia Walther, Michael C. Martinetz, Anja Friedrich, Anne-Luise Tscheließnig, Martin Voigtmann, Alexander Jung, Cécile Brocard, Erich Bluhmki, Jens Smiatek
Publikováno v:
Frontiers in Chemical Engineering, Vol 5 (2023)
We present explainable machine learning approaches for gaining deeper insights into the solubilization processes of inclusion bodies. The machine learning model with the highest prediction accuracy for the protein yield is further evaluated with rega
Externí odkaz:
https://doaj.org/article/c43b913922ba482a90c0d7492274c915
Autor:
Cornelia Walther, Martin Voigtmann, Elena Bruna, Ali Abusnina, Anne‐Luise Tscheließnig, Michael Allmer, Hermann Schuchnigg, Cécile Brocard, Alexandra Föttinger‐Vacha, Georg Klima
Publikováno v:
Biotechnology progressREFERENCES. 38(3)
The development of a biopharmaceutical production process usually occurs sequentially, and tedious optimization of each individual unit operation is very time-consuming. Here, the conditions established as optimal for one-step serve as input for the
Autor:
null Cornelia Walther, null Martin Voigtmann, null Elena Bruna, null Ali Abusnina, null Anne‐Luise Tscheließnig, null Michael Allmer, null Hermann Schuchnigg, null Cécile Brocard, null Alexandra Föttinger‐Vacha, null Georg Klima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb1dc1a1867508af672df52da97ac985
https://doi.org/10.1002/btpr.3249/v2/response1
https://doi.org/10.1002/btpr.3249/v2/response1
Autor:
Johanna Jarmer, Nils H. Janzen, Gerald Striedner, Daniela Reinisch, Sandra Abad, Martin Voigtmann
Publikováno v:
Biotechnology Journal. 14:1800625
Advances in molecular biotechnology have resulted in the generation of numerous potential production strains. Because every strain can be screened under various process conditions, the number of potential cultivations is multiplied. Exploiting this p