All Outputs (8)

The Lanthipeptide Synthetase-like Protein CA_C0082 Is an Effector of Agr Quorum Sensing in Clostridium acetobutylicum (2023)
Journal Article

Lanthipeptide synthetases are present in all domains of life. They catalyze a crucial step during lanthipeptide biosynthesis by introducing thioether linkages during posttranslational peptide modification. Lanthipeptides have a wide range of function... Read More about The Lanthipeptide Synthetase-like Protein CA_C0082 Is an Effector of Agr Quorum Sensing in Clostridium acetobutylicum.

A genome-scale metabolic model of Cupriavidus necator H16 integrated with TraDIS and transcriptomic data reveals metabolic insights for biotechnological applications (2022)
Journal Article

Exploiting biological processes to recycle renewable carbon into high value platform chemicals provides a sustainable and greener alternative to current reliance on petrochemicals. In this regard Cupriavidus necator H16 represents a particularly prom... Read More about A genome-scale metabolic model of Cupriavidus necator H16 integrated with TraDIS and transcriptomic data reveals metabolic insights for biotechnological applications.

Engineering improved ethylene production: Leveraging systems Biology and adaptive laboratory evolution (2021)
Journal Article

Ethylene is a small hydrocarbon gas widely used in the chemical industry. Annual worldwide production currently exceeds 150 million tons, producing considerable amounts of CO2 contributing to climate change. The need for a sustainable alternative is... Read More about Engineering improved ethylene production: Leveraging systems Biology and adaptive laboratory evolution.

Gsmodutils: A python based framework for test-driven genome scale metabolic model development (2018)
Other

Motivation Genome scale metabolic models (GSMMs) are increasingly important for systems biology and metabolic engineering research as they are capable of simulating complex steady-state behaviour. Constraints based models of this form can include tho... Read More about Gsmodutils: A python based framework for test-driven genome scale metabolic model development.

From clusters to queries: exploiting uncertainty in the modularity landscape of complex networks (2018)
Conference Proceeding

Uncovering latent community structure in complex networks is a field that has received an enormous amount of attention. Unfortunately, whilst potentially very powerful, unsupervised methods for uncovering labels based on topology alone has been shown... Read More about From clusters to queries: exploiting uncertainty in the modularity landscape of complex networks.

Measuring and modelling the response of Klebsiella pneumoniae KPC prey to Bdellovibrio bacteriovorus predation, in human serum and defined buffer (2017)
Journal Article

In worldwide conditions of increasingly antibiotic-resistant hospital infections, it is important to research alternative therapies. Bdellovibrio bacteriovorus bacteria naturally prey on Gram-negative pathogens, including antibiotic-resistant strains... Read More about Measuring and modelling the response of Klebsiella pneumoniae KPC prey to Bdellovibrio bacteriovorus predation, in human serum and defined buffer.

Identification of gene modules associated with low temperatures response in Bambara groundnut by network-based analysis (2016)
Journal Article

Bambara groundnut (Vigna subterranea (L.) Verdc.) is an African legume and is a promising underutilized crop with good seed nutritional values. Low temperature stress in a number of African countries at night, such as Botswana, can effect the growth... Read More about Identification of gene modules associated with low temperatures response in Bambara groundnut by network-based analysis.

Hormone transport (2010)
Book Chapter

Hormone transport in plants is a fundamental process governing all aspects of plant development. Identification and functional analysis of plasma membrane proteins, which regulate the import and export of plant hormones, is a requirement if we are to... Read More about Hormone transport.