Rising costs and a depleting supply of oil, as well as environmental concerns, have led to strong interest in renewable fuels and chemicals. In the last decade, there was considerable interest for microbial production of biofuels by metabolic engineering approach as an attractive alternative to transportation fuels.
Recent advancements of synthetic biology have led to the further development of genetic engineering of microorganism, which has been great motivation for developing strategy for microbial production of biofuels. Rational design of metabolism is very important for production of biofuels. In silico prediction of metabolic flux distribution of the metabolic pathways have enabled us to decide the time consuming steps in metabolic engineering.
In recent years significant efforts have been made to engineer microorganisms to produce bioethanol, higher chain alcohols, fatty acids and isoprenoid based biodiesel. Metabolic engineering involves improvement of biofuels formation through the modification of specific genes or addition of new genes involved in biochemical reactions with the use of recombinant DNA technology. System-level approach to analyze and engineer metabolism based on flux distributions obtained from metabolomics and 13C metabolic flux analysis have been extensively used by our group to produce biofuels in Escherichia coli and yeast.
Engineering high-level production of fatty alcohols by Saccharomyces cerevisiae from lignocellulosic feedstocks by D'espaux L., Ghosh A. , Runguphan W. , Wehrs M. , Xu F. , Konzock O. , Dev I. , Nhan M. , Gin J. , Reider A. , Petzold C. , Singh S. , Simmons B. , Mukhopadhyay A. , García H. , Keasling J. Metabolic Engineering 42 115-125 (2017)
13C Metabolic Flux Analysis for Systematic Metabolic Engineering of S. cerevisiae for Overproduction of Fatty Acids by Ghosh A., Ando D. , Gin J. , Runguphan W. , Denby C. , Wang G. , Baidoo E. E., Shymansky C. , Keasling J. D., Martín H. G. Frontiers in Bioengineering and Biotechnology 4(76) 1-10 (2016)
The roles of arbuscular mycorrhizal fungi (AMF) in phytoremediation and tree-herb interactions in Pb contaminated soil by Yang Y., Liang Y. , Han X. , Chiu T. , Ghosh A. , Chen H. , Tang M. Scientific Reports 6 - (2016)
Systems and Synthetic Biology for the Microbial Production of Biofuels by Ghosh A. Current Metabolomics 4(1) 5-13 (2016)
A peptide-based method for 13C metabolic flux analysis in microbial communities by Ghosh A., Nilmeier J. , Weaver D. , Adams P. , Keasling J. , Mukhopadhyay A. , Petzold C. , Martín H. PLoS Computational Biology 10 - (2014)
A study of Communication Pathways in Methionyl tRNA Synthetase by Molecular Dynamics Simulations and Structure Network analysis by Ghosh A., Vishveshwara S. Proceedings of the National Academy of Sciences of the United States of America 104 15711-1576 (2007)
Allosteric communication in Cysteinyl tRNA Synthetase: A network of direct and indirect readout by Ghosh A., Sakaguchi R. , Liu C. , Vishveshwara S. , Hou Y. Journal of Biological Chemistry 286 37721-31 (2011)
Ligand dependent Intra and Inter subunit Communication in Human Tryptophanyl tRNA Synthetase as Deduced from the Dynamics of Structure Networks by Hansia P., Ghosh A. , Vishveshwara S. Molecular BioSystems 5 1860-72 (2009)
Single-molecule force-unfolding of titin I27 reveals a correlation between the size of the surrounding anions and its mechanical stability by Muddassir M., Manna B. , Singh P. , Singh S. , R. , Ghosh A. , Sharma D. Chemical Communications 54 9635-9638 (2018)
Metabolic Engineering of Yeast for free Fatty Acids Using CRISPR/Cas9 Platform Science and Engineering Research Board (SERB)
Metabolic Engineering of Yeast Strains that Efficiently Utilizes C5/C6 Sugars for Production of Biofuels DBT, NEW DELHI
Pilot Scale Production of Ethanol from Lignocellulosic Feedstock: A Technological Challenge (UAY_I_IITKGP_020) MHRD
Area of Research: Metabolic Engineering
Area of Research: Metabolic Engineering
Area of Research: Computational Biology
Area of Research: BioEnergy
Area of Research: Molecular dynamics and simulation of protein