A5091682227- Algal biology and biofuel production
- Microbial Metabolic Engineering and Bioproduction
- Biofuel production and bioconversion
- Photosynthetic Processes and Mechanisms
- Monoclonal and Polyclonal Antibodies Research
- Mast cells and histamine
- Genomics and Phylogenetic Studies
- Marine and coastal ecosystems
- Solar Radiation and Photovoltaics
- Urban Transport and Accessibility
- T-cell and B-cell Immunology
- Transportation and Mobility Innovations
- Photovoltaic System Optimization Techniques
- Energy Load and Power Forecasting
- Lipid metabolism and biosynthesis
- Spectroscopy and Quantum Chemical Studies
- Photovoltaic Systems and Sustainability
- Traffic Prediction and Management Techniques
- Fuel Cells and Related Materials
- Protein Structure and Dynamics
- Smart Parking Systems Research
- Gene Regulatory Network Analysis
- Coastal and Marine Management
- Thermochemical Biomass Conversion Processes
- Industrial Vision Systems and Defect Detection
National Renewable Energy Laboratory
2016-2025
Los Alamos National Laboratory
2007-2012
Oak Ridge National Laboratory
2012
University of Georgia
2012
University of Tennessee at Knoxville
2012
University of Chicago
2005-2007
Chicago Institute for Psychoanalysis
2005-2007
Albert Ellis Institute
2007
We used ultra-deep sequencing to obtain tens of thousands HIV-1 sequences from regions targeted by CD8+ T lymphocytes longitudinal samples three acutely infected subjects, and modeled viral evolution during the critical first weeks infection. Previous studies suggested that a single virus established productive infection, but these conclusions were tempered because limited sampling; now, we have greatly increased our confidence in this observation through modeling observed earliest sample...
Biofuels derived from algal lipids represent an opportunity to dramatically impact the global energy demand for transportation fuels. Systems biology analyses of oleaginous algae could greatly accelerate commercialization algal-derived biofuels by elucidating key components involved in lipid productivity and leading initiation hypothesis-driven strain-improvement strategies. However, higher-level systems analyses, such as transcriptomics proteomics, are highly dependent upon available...
Introduction Microalgae constitute a prominent feedstock for producing biofuels and biochemicals by virtue of their prolific reproduction, high bioproduct accumulation, the ability to grow in brackish saline water. However, naturally occurring wild type algal strains are rarely optimal industrial use; therefore, bioengineering algae is necessary generate superior performing that can address production challenges settings, particularly bioenergy sectors. One crucial steps this process...
High-throughput analysis of biomass is necessary to ensure consistent and uniform feedstocks for agricultural bioenergy applications needed inform genomics systems biology models. Pyrolysis followed by mass spectrometry such as molecular beam (py-MBMS) analyses are becoming increasingly popular the rapid cell wall composition typically require use different data tools depending on need application. Here, authors report py-MBMS several types lignocellulosic gain an understanding spectral...
Thermophilic bacteria are attractive hosts to produce bio-based chemicals. While various genetic manipulations have been employed in the metabolic engineering of thermophiles, a robust means regulate gene expression these (∼55 °C) is missing. Our bioinformatic search for riboswitches thermophilic revealed that major classes present, suggesting riboswitches' regulatory roles bacteria. By building synthetic constructs incorporating natural and engineered purine riboswitch sequences originated...
The economic return on investment of a commercial photovoltaic system depends greatly its performance over the long term and, hence, degradation rate. Many methods have been proposed for assessing rates from outdoor data. However, comparing reported values one analyst and research group to another requires common baseline performance; consistency between analysts can be challenge. An interlaboratory study was conducted involving different volunteer reporting same data using methodologies....
To understand a complex reaction, it is necessary to project the dynamics of system onto low-dimensional subspace physically meaningful coordinates. We recently introduced an automatic method for identifying coordinates that relate closely stable-state commitment probabilities and successfully applied model biomolecular isomerization, C7eq→αR transition alanine dipeptide [A. Ma A. R. Dinner, J. Phys. Chem. B 109, 6769 (2005)]. Here, we explore approximate means estimating diffusion tensors...
We apply open-source calculations (RdTools) to performance data from more than 500 photovoltaic systems in the United States quantify energy-yield degradation rates. find that residential considered this study tended show system nonresidential here. Within systems, we differences rates associated with module technology-namely, built interdigitated-back-contact technology slower conventional silicon or heterojunction modules. also older proceeded rapidly later life. here, those exposed shade...
Recent technology innovations are enabling fundamental improvements in mobility systems, including options for new travel modes, methods, and opportunities to connect people with goods, services, employment. A desire quantify compare both existing emerging transportation motivated development of the energy productivity (MEP) metric described here. The MEP fundamentally measures potential a city’s system person variety services activities that define high quality life, relative convenience,...
Addressing the so-called ``Red-AI'' trend of rising energy consumption by large-scale neural networks, this study investigates actual consumption, as measured node-level watt-meters, training various fully connected network architectures. We introduce BUTTER-E dataset, an augmentation to BUTTER Empirical Deep Learning containing and performance data from 63,527 individual experimental runs spanning 30,582 distinct configurations: 13 datasets, 20 sizes (number trainable parameters), 8...
The linker for activation of T cells (LAT), the B (LAB), and X (LAX) form a family transmembrane adaptor proteins widely expressed in lymphocytes. These scaffolding have multiple binding motifs that, when phosphorylated, bind SH2 domain cytosolic Grb2. Thus, valence LAT, LAB LAX Grb2 is variable, depending on strength receptor that initiates phosphorylation. During signaling, LAT population will exhibit time-varying distribution valences from zero to three. In cytosol, forms 1∶1 2∶1...
Abstract Background Higher plants and algae are able to fix atmospheric carbon dioxide through photosynthesis store this fixed in large quantities as starch, which can be hydrolyzed into sugars serving feedstock for fermentation biofuels precursors. Rational engineering of flow plant cells requires a greater understanding how starch breakdown fluxes respond variations enzyme concentrations, kinetic parameters, metabolite concentrations. We have therefore developed simulated detailed ordinary...
Cost-effective production of fuels and chemicals from lignocellulosic biomass often involves enzymatic saccharification, which has been the subject intense research development. Recently, a mechanistic model for saccharification cellulose developed that accounts distribution chain lengths, accessibility insoluble to enzymes, distinct modes action component cellulases [Griggs et al. (2012) Biotechnol. Bioeng., 109(3):665-675; Griggs 109(3):676-685]. However, determining appropriate values...
The term serial engagement was introduced to describe the ability of a single peptide, bound MHC molecule, sequentially interact with TCRs within contact region between T cell and an APC. In addition ligands on surfaces, soluble multivalent can serially engage surface receptors sites ligand, binding dissociating from many times before all ligand become free leaves surface. To evaluate role in Syk activation, we use detailed mathematical model initial signaling cascade that is triggered when...