I am a metabolic modeller with expertise in genome-scale metabolic modelling. My interest lies in systems biology approach to bridge the gap between genotype and phenotype, utilising in-silico mathematical models along with experimental and multi-omics data.
I started my research career as a Marie-Curie research fellow at the Oxford Brookes University, Oxford investigating the metabolism of diatoms, using genome-scale metabolic models, to optimise lipid production for industrial usage.
As a postdoc at the University of Dusseldorf, Germany, I specialised in kinetic modelling and used this approach to analyse the dynamics of phosphate pools in microalga and assess the feasibility of using green algae to extract phosphorus from waste-water and use as bio-fertilisers. At this time, I was also involved in modelling higher plant metabolism with particular focus in photo-respiration.
During my second postdoc, I developed the method for stoichiometric reductions of large-scale metabolic models to small, coarse-grained models and constructed non-linear resource allocation model to analyse the relationship between over-flow metabolism and protein allocation strategies in E.coli.
In November 2019, I joined Quadram Institute as part of John Wain’s research group. Here, I use genome-scale metabolic modelling approach to investigate the survival of Campylobacter in the food chain. I am also involved with metabolic modelling of various other organisms such as E. coli, Staphylococcus.
Singh, D. and Lercher J. M. (2019) Network reduction methods for genome-scale metabolic models. Cell. Mol. Life Sci. doi: https://doi.org/10.1007/s00018-019-03383-z
Singh, D. et al. (2018) Modelling Phosphorus Uptake in Microalgae. Biochem Soc Trans. 46 (2): 483-490. doi: https://doi.org/10.1042/BST20170262
Singh, D. et al. (2018) A Critical Note on Symmetry Contact Artifacts and the Evaluation of the Quality of Homology Models. Symmetry. doi: https://doi.org/10.3390/sym10010025
Villanova, V. et al. (2017) Investigating mixotrophic metabolism in the Phaeodactylum tricornutum. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. doi: 10.1098/rstb/372/1728
Singh, D. et al. (2015) Modelling metabolism of the diatom Phaeodactylum tricornutum. Biochem Soc Trans. 43 (6): 1182–1186. doi: https://doi.org/10.1042/BST20150152