2023 - Research.com Biology and Biochemistry in China Leader Award
His main research concerns Genetics, Gene, Genome, Catfish and Metabolic engineering. In his work, Carp and Cyprinidae is strongly intertwined with Common carp, which is a subfield of Genetics. His research combines Aquaculture and Gene.
His work deals with themes such as Zebrafish, Gene mapping and Ictaluridae, which intersect with Genome. His Catfish research incorporates themes from Immune system and Antimicrobial peptides. His Metabolic engineering research is multidisciplinary, incorporating elements of Synthetic biology, Systems biology, Metabolic pathway and Bioreactor.
Peng Xu mainly investigates Genetics, Gene, Artificial intelligence, Genome and Optics. His Genetics study frequently draws connections to adjacent fields such as Common carp. Peng Xu studies Gene, namely Mitochondrial DNA.
His study ties his expertise on Pattern recognition together with the subject of Artificial intelligence.
His primary areas of investigation include Artificial intelligence, Yarrowia, Gene, Metabolic engineering and Biochemistry. His research integrates issues of Sketch and Pattern recognition in his study of Artificial intelligence. His Gene study results in a more complete grasp of Genetics.
His Genetics study frequently draws connections to other fields, such as Common carp. His study of Yeast is a part of Biochemistry. Phylogenetic tree is closely connected to Evolutionary biology in his research, which is encompassed under the umbrella topic of Genome.
His primary areas of investigation include Artificial intelligence, Metabolic engineering, Yarrowia, Computational biology and Pattern recognition. Peng Xu interconnects Commodity chemicals and Mevalonate pathway in the investigation of issues within Metabolic engineering. His Yarrowia research entails a greater understanding of Biochemistry.
Peng Xu is involved in the study of Biochemistry that focuses on Yeast in particular. His specific area of interest is Computational biology, where he studies Synthetic biology. His work carried out in the field of Pattern recognition brings together such families of science as Transfer of learning, Default mode network and Electroencephalography.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Developing a new form of permeability and Kozeny-Carman constant for homogeneous porous media by means of fractal geometry
Peng Xu;Boming Yu.
Advances in Water Resources (2008)
Genome sequence and genetic diversity of the common carp, Cyprinus carpio.
Peng Xu;Xiaofeng Zhang;Xumin Wang;Jiongtang Li.
Nature Genetics (2014)
Improving fatty acids production by engineering dynamic pathway regulation and metabolic control
Peng Xu;Lingyun Li;Fuming Zhang;Gregory Stephanopoulos.
Proceedings of the National Academy of Sciences of the United States of America (2014)
Modular optimization of multi-gene pathways for fatty acids production in E. coli
Peng Xu;Qin Gu;Wenya Wang;Wenya Wang;Lynn Wong.
Nature Communications (2013)
Engineering Yarrowia lipolytica as a platform for synthesis of drop-in transportation fuels and oleochemicals
Peng Xu;Kangjian Qiao;Woo Suk Ahn;Gregory Stephanopoulos.
Proceedings of the National Academy of Sciences of the United States of America (2016)
Lipid production in Yarrowia lipolytica is maximized by engineering cytosolic redox metabolism.
Kangjian Qiao;Thomas M Wasylenko;Kang Zhou;Peng Xu.
Nature Biotechnology (2017)
Genome-scale metabolic network modeling results in minimal interventions that cooperatively force carbon flux towards malonyl-CoA.
Peng Xu;Sridhar Ranganathan;Zachary L. Fowler;Costas D. Maranas.
Metabolic Engineering (2011)
Public-Key Encryption with Fuzzy Keyword Search: A Provably Secure Scheme under Keyword Guessing Attack
Peng Xu;Hai Jin;Qianhong Wu;Wei Wang.
IEEE Transactions on Computers (2013)
Role of flippases, scramblases and transfer proteins in phosphatidylserine subcellular distribution.
Hannah M. Hankins;Ryan D. Baldridge;Peng Xu;Todd R. Graham.
Traffic (2015)
ePathBrick: A Synthetic Biology Platform for Engineering Metabolic Pathways in E. coli
Peng Xu;Amerin Vansiri;Namita Bhan;Mattheos A. G. Koffas.
ACS Synthetic Biology (2012)
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