Machine learning for the advancement of genome-scale metabolic modeling

P Kundu, S Beura, S Mondal, AK Das, A Ghosh - Biotechnology Advances, 2024 - Elsevier
Constraint-based modeling (CBM) has evolved as the core systems biology tool to map the
interrelations between genotype, phenotype, and external environment. The recent …

Impact of Waste as a Substrate on Biomass Formation, and Optimization of Spent Microbial Biomass Re-Use by Sustainable Metabolic Engineering

A Stikane, MR Baumanis, R Muiznieks, E Stalidzans - Fermentation, 2023 - mdpi.com
Biomass residue and waste stream bioconversion is a key pillar for successful transition
toward sustainable bioeconomy. Spent microbial biomass (SMB) is a unique type of nutrient …

Integrated Sustainability Score Implementation as an Objective Function in Sustainable Metabolic Engineering

R Muiznieks, E Dace, E Stalidzans - Fermentation, 2023 - mdpi.com
The sustainable metabolic engineering (SME) concept was defined by Stalidzans and Dace
as an approach to the selection of the most sustainable metabolic engineering designs …

A hybrid strategy for growth-associated production of sophorolipid using a reconstructed genome-scale metabolic model for the fructophilic yeast Starmerella …

E Motamedian, MR Baumanis, JE Daugavietis… - Process Safety and …, 2024 - Elsevier
Metabolic modeling of Starmerella bombicola as a model yeast of the Wickerhamiella/
Starmerella (W/S) clade is advantageous for studying the characteristics of this clade and to …

A Fermentation State Marker Rule Design Task in Metabolic Engineering

E Stalidzans, R Muiznieks, K Dubencovs, E Sile… - Bioengineering, 2023 - mdpi.com
There are several ways in which mathematical modeling is used in fermentation control, but
mechanistic mathematical genome-scale models of metabolism within the cell have not …

Sustainable Metabolic Engineering Design Development Employing a Complex Objective Function

R Muiznieks, E Dace, E Stalidzans - 2023 - preprints.org
The sustainable metabolic engineering (SME) concept was defined by Stalidzans and Dace
as an approach for the selection of most sustainable metabolic engineering designs taking …

Predicción de estrategias de eliminación génica con programación lineal optknock de python en Iyali4 de Yarrowia Lipolytica para producir licopeno

MGQ Socasi, AEF García, DIL Amaquiña… - …, 2024 - revista.sciencevolution.com
En esta investigación, se utilizó el algoritmo de programación lineal (OptKnock) en Python
en el modelo GEM iYali4 de Yarrowia lipolytica, para predecir estrategias de eliminación de …