Misinterpretation risks of global stochastic optimisation of kinetic models revealed by multiple optimisation runs.

Autor: Stalidzans E; Department of Computer Systems, Faculty of Information Technologies, Latvia University of Life Sciences and Technologies, Liela iela 2, Jelgava LV-3001, Latvia; Institute of Microbiology and Biotechnology, University of Latvia, Jelgavas iela 1, LV1004 Riga, Latvia. Electronic address: egils.stalidzans@lu.lv., Landmane K; Department of Computer Systems, Faculty of Information Technologies, Latvia University of Life Sciences and Technologies, Liela iela 2, Jelgava LV-3001, Latvia., Sulins J; Department of Computer Systems, Faculty of Information Technologies, Latvia University of Life Sciences and Technologies, Liela iela 2, Jelgava LV-3001, Latvia., Sahle S; Dept. Modeling of Biological Processes, COS Heidelberg/BioQuant, University of Heidelberg, Im Neuenheimer Feld 267, Heidelberg 69120, Germany.

Publikováno v: Mathematical biosciences [Math Biosci] 2019 Jan; Vol. 307, pp. 25-32. Date of Electronic Publication: 2018 Nov 09.

Kinetic and Stoichiometric Modeling-Based Analysis of Docosahexaenoic Acid (DHA) Production Potential by Crypthecodinium cohnii from Glycerol, Glucose and Ethanol.

Autor: Berzins, Kristaps, Muiznieks, Reinis, Baumanis, Matiss R., Strazdina, Inese, Shvirksts, Karlis, Prikule, Santa, Galvanauskas, Vytautas, Pleissner, Daniel, Pentjuss, Agris, Grube, Mara, Kalnenieks, Uldis, Stalidzans, Egils

Publikováno v: Marine Drugs; Feb2022, Vol. 20 Issue 2, pN.PAG-N.PAG, 1p