11 documents found, page 1 of 2

FROG analysis ensures the reproducibility of genome scale metabolic models

Genome scale metabolic models (GEMs) and other constraint-based models (CBMs) play a pivotal role in understanding biological phenotypes and advancing research in areas like metabolic engineering, human disease modelling, drug discovery, and personalized medicine. Despite their growing application, a significant challenge remains in ensuring the reproducibility of GEMs, primarily due to inconsistent reporting a...

Drug Target Identification based on the construction of a Genome-scale metaboli...

Candida parapsilosis has seen one of the most significant rises in incidence among pathogenic Candida spp., often taking second place only to C. albicans 1. Addingto this increased incidence is the rise in resistance to first line antifungals and lack ofadequate alternative therapeutics, not only for C. parapsilosis but throughout the genus 2,3. Genome Scale Metabolic Models (GSMMs) have risen as a powerful in ...

Marine sponge and octocoral-associated bacteria show versatile secondary metabo...

Marine microbiomes are prolific sources of bioactive natural products of potential pharmaceutical value. This study inspected two culture collections comprising 919 host-associated marine bacteria belonging to 55 genera and several thus-far unclassified lineages to identify isolates with potentially rich secondary metabolism and antimicrobial activities. Seventy representative isolates had their genomes mined f...

A computational approach to finding new drug targets for pathogenic Candida spe...

Candida species are among the most impactful fungal pathogens, normally associated with very high mortality rates. With the rise in frequency of multidrug-resistant clinical isolates, the identification of new drug targets and new drugs is crucial to overcome the increase in therapeutic failure. In this study, we present the first validated genome-scale metabolic models for three pathogenic Candida species, Can...

Heterologous expression of the yeast Tpo1p or Pdr5p membrane transporters in Ar...

Soil contamination is a major hindrance for plant growth and development. The lack of effective strategies to remove chemicals released into the environment has raised the need to increase plant resilience to soil pollutants. Here, we investigated the ability of two Saccharomyces cerevisiae plasma-membrane transporters, the Major Facilitator Superfamily (MFS) member Tpo1p and the ATP-Binding Cassette (ABC) prot...

Genome-wide screening of Saccharomyces cerevisiae genes required to foster tole...

The presence of toxic compounds derived from biomass pre-treatment in fermentation media represents an important drawback in second-generation bio-ethanol production technology and overcoming this inhibitory effect is one of the fundamental challenges to its industrial production. The aim of this study was to systematically identify, in industrial medium and at a genomic scale, the Saccharomyces cerevisiae gene...

Genome-wide screening of Saccharomyces cerevisiae genes required to foster tole...

The understanding of the determinants of yeast tolerance to inhibitory compounds present in fermentation media at the genetic level is of essential importance for the improvement of second generation bio-ethanol conversion technology. The aim of this study was to systematically identify, at a genomic scale, the Saccharomyces cerevisiae genes required for simultaneous and maximal tolerance to key inhibitors deri...

Identification of Saccharomyces cerevisiae genes involved in the resistance to ...

Most of the current processes for bioethanol production are based on the use of Very-High-Gravity (VHG) technology and the processing of lignocellulosic biomass, limited by the high osmotic pressure and ethanol concentration in the fermentation medium, and by inhibitors resulting from biomass pre-treatments, respectively. Aiming the optimization of strains for industrial bioethanol production an integrated appr...

Identification of Saccharomyces cerevisiae genes involved in the resistance to ...

Identification of candidate genes for yeast engineering to improve bioethanol p...

Background: The optimization of industrial bioethanol production will depend on the rational design and manipulation of industrial strains to improve their robustness against the many stress factors affecting their performance during very high gravity (VHG) or lignocellulosic fermentations. In this study, a set of Saccharomyces cerevisiae genes found, through genome-wide screenings, to confer resistance to the ...