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<h4>Dr. Justin Siegel - <I> Advisor </I></h4> | <h4>Dr. Justin Siegel - <I> Advisor </I></h4> | ||
<i>University of California Davis, Department of Biochemistry and Molecular Medicine and School of Medicine </i> <br> | <i>University of California Davis, Department of Biochemistry and Molecular Medicine and School of Medicine </i> <br> | ||
− | + | My scientific efforts are focused on combining computational and experimental tools to develop a fundamental knowledge of enzyme catalysis, and applying those principles to design novel proteins of therapeutic or commercial interest. Currently I am working with an international community on the development of Rosetta computational methodology for predicting and designing macromolecular structures, interactions, and functions. Using this methodology I have completed the de novo design of enzymes capable of catalyzing chemical reactions not found in nature, such as the Diels-Alder reaction. This was followed up by working with an online community, Foldit, to further engineer these proteins for enhanced activity. Most recently I have worked on the redesign of naturally occurring enzymes for the degradation of immunogenic gluten proteins, to develop a novel CO2 fixation pathways, and design of a novel anthrax therapeutic. My current focus is on the design of novel biofuel and commodity chemical biosynthetic pathways, the development of novel therapeutics, and the general understanding of the relationship between protein sequence, structure, and function. | |
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<h4>Dr. Ilias Tagkopoulos - <I> Advisor </I></h4> | <h4>Dr. Ilias Tagkopoulos - <I> Advisor </I></h4> | ||
<i>University of California Davis, Department of Computer Science and UC Davis Genome Center </i> <br> | <i>University of California Davis, Department of Computer Science and UC Davis Genome Center </i> <br> | ||
− | + | My lab’s interests span a variety of topics related to evolutionary, synthetic and systems biology. We employ machine learning, graph theory, mathematical optimization, multiscale modeling and HPC simulation methods to address questions in these fields. Computational predictions are experimentally tested in our microbiology lab, where we perform laboratory evolution of microbial cultures, and we construct novel synthetic gene circuits for biotechnological applications. | |
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<h4>Dr. Marc Facciotti - <I> Advisor </I></h4> | <h4>Dr. Marc Facciotti - <I> Advisor </I></h4> | ||
<i>University of California Davis, Department of Biomedical Engineering and UC Davis Genome Center </i> <br> | <i>University of California Davis, Department of Biomedical Engineering and UC Davis Genome Center </i> <br> | ||
− | + | I are interested in using the tools of Systems Biology to elucidate rules of biological assembly for gene regulatory networks and in turn use this knowledge, through Synthetic Biology approaches, to build novel circuits. | |
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Revision as of 01:17, 12 September 2015
UC Davis iGEM 2015
The 2015 UC Davis iGEM team is cool. We do cool things and have a cool project. Also this header doesn't necessarily have to be here but I decided to change it.Gabriel Freund
Gabe BioAndrew Michelmore
Hi. I am Andrew Michelmore, a second year Electrical Engineer at Santa Clara University. I am very interested in the engineering and design of power grids, as well as in transistor organization for processors and microprocessors. I hope to pursue a career in one of these areas. I decided to join iGEM, because I was interested in the engineering approach and view iGEM has towards biology.
I contributed to the project mostly through outreach and wastewater collection. I also assisted with hardware and hardware testing.
Muntaha Samad
Muntaha BIOAndrew Shephard
Andrew Shep BIOJoanne Wu
Joanne BIOLogan Vinson
Logan BIODr. Justin Siegel - Advisor
University of California Davis, Department of Biochemistry and Molecular Medicine and School of MedicineMy scientific efforts are focused on combining computational and experimental tools to develop a fundamental knowledge of enzyme catalysis, and applying those principles to design novel proteins of therapeutic or commercial interest. Currently I am working with an international community on the development of Rosetta computational methodology for predicting and designing macromolecular structures, interactions, and functions. Using this methodology I have completed the de novo design of enzymes capable of catalyzing chemical reactions not found in nature, such as the Diels-Alder reaction. This was followed up by working with an online community, Foldit, to further engineer these proteins for enhanced activity. Most recently I have worked on the redesign of naturally occurring enzymes for the degradation of immunogenic gluten proteins, to develop a novel CO2 fixation pathways, and design of a novel anthrax therapeutic. My current focus is on the design of novel biofuel and commodity chemical biosynthetic pathways, the development of novel therapeutics, and the general understanding of the relationship between protein sequence, structure, and function.
Dr. Ilias Tagkopoulos - Advisor
University of California Davis, Department of Computer Science and UC Davis Genome CenterMy lab’s interests span a variety of topics related to evolutionary, synthetic and systems biology. We employ machine learning, graph theory, mathematical optimization, multiscale modeling and HPC simulation methods to address questions in these fields. Computational predictions are experimentally tested in our microbiology lab, where we perform laboratory evolution of microbial cultures, and we construct novel synthetic gene circuits for biotechnological applications.
Dr. Marc Facciotti - Advisor
University of California Davis, Department of Biomedical Engineering and UC Davis Genome CenterI are interested in using the tools of Systems Biology to elucidate rules of biological assembly for gene regulatory networks and in turn use this knowledge, through Synthetic Biology approaches, to build novel circuits.
Alex Carlin - Advisor
University of California Davis, Biophysics Graduate GroupMichael is a junior from Columbia, SC, majoring in Biopsychology. He first got involved with Tufts iGEM shortly after its founding in February 2013. As director, he has helped organize a conference on the Future of Phage Therapy and Synthetic Biology and worked with faculty and administrators to secure funding and housing for our team. Michael has worked in several labs at different universities, and he is also involved in Tufts Sustainability Collective and Active Minds on campus. He enjoys being outdoors, going to the gym, and rock climbing.
Aaron Cohen - Advisor
University of California Davis, Department of Biomedical EngineeringMichael is a junior from Columbia, SC, majoring in Biopsychology. He first got involved with Tufts iGEM shortly after its founding in February 2013. As director, he has helped organize a conference on the Future of Phage Therapy and Synthetic Biology and worked with faculty and administrators to secure funding and housing for our team. Michael has worked in several labs at different universities, and he is also involved in Tufts Sustainability Collective and Active Minds on campus. He enjoys being outdoors, going to the gym, and rock climbing.
Russell Neches - Advisor
University of California Davis, Microbiology Graduate GroupMichael is a junior from Columbia, SC, majoring in Biopsychology. He first got involved with Tufts iGEM shortly after its founding in February 2013. As director, he has helped organize a conference on the Future of Phage Therapy and Synthetic Biology and worked with faculty and administrators to secure funding and housing for our team. Michael has worked in several labs at different universities, and he is also involved in Tufts Sustainability Collective and Active Minds on campus. He enjoys being outdoors, going to the gym, and rock climbing.
Andrew Yao - Advisor
University of California Davis, Department of Biomedical EngineeringDr. Nikhil Nair is a professor in the Chemical and Biological Engineering Department of the Engineering School of Tufts University. His research focuses on altering various aspects of microbial physiology with the aim of not only engineering them for applications, but also to understand why various features of life evolved the way they did. He believes that, as an engineer, building a synthetic system is one of the most powerful methods to understand the intricacies of that system. Dr. Nair is the advisor of the Tufts Synthetic Biology team.