D
Deanne W. Sammond
Researcher at National Renewable Energy Laboratory
Publications - 22
Citations - 1085
Deanne W. Sammond is an academic researcher from National Renewable Energy Laboratory. The author has contributed to research in topics: Cellulase & Myelin. The author has an hindex of 16, co-authored 22 publications receiving 964 citations. Previous affiliations of Deanne W. Sammond include University of North Carolina at Chapel Hill & University of Colorado Boulder.
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Journal ArticleDOI
Molecular Dynamics Simulation of Amyloid β Dimer Formation
Brigita Urbanc,Luis Cruz,Feng Ding,Feng Ding,Deanne W. Sammond,Sagar D. Khare,Sergey V. Buldyrev,H. E. Stanley,Nikolay V. Dokholyan +8 more
TL;DR: In this paper, a molecular dynamics approach was introduced to study amyloid b (Ab) dimer formation, using discrete molecular dynamics simulations of a coarse-grained model to identify a variety of dimer conformations; and employing all-atom molecular mechanics simulations to estimate thermodynamic stability of all the conformations.
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Predicting Enzyme Adsorption to Lignin Films by Calculating Enzyme Surface Hydrophobicity
Deanne W. Sammond,John M. Yarbrough,Elisabeth Mansfield,Yannick J. Bomble,Sarah E. Hobdey,Stephen R. Decker,Larry E. Taylor,Michael G. Resch,Joseph J. Bozell,Michael E. Himmel,Todd B. Vinzant,Michael F. Crowley +11 more
TL;DR: The ability to predict enzyme-lignin adsorption is demonstrated and could potentially be used to design improved cellulase cocktails, thus lowering the overall cost of biofuel production.
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Alterations in metabolism and gene expression in brain regions during cuprizone-induced demyelination and remyelination.
Helga Jurevics,Carrie Largent,Janell Hostettler,Deanne W. Sammond,Glenn K. Matsushima,Amber M. Kleindienst,Arrel D. Toews,Pierre Morell +7 more
TL;DR: The ability to correlate gene expression with known pathophysiological events should help in elucidating further function of such genes as related to demyelination/remyelination.
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Structure-based Protocol for Identifying Mutations that Enhance Protein–Protein Binding Affinities
Deanne W. Sammond,Ziad M. Eletr,Carrie Purbeck,Randall J. Kimple,David P. Siderovski,Brian Kuhlman +5 more
TL;DR: A structure-based method to rationally predict single mutations at protein-protein interfaces that enhance binding affinities was developed, and five of the eight mutations identified were accurately predicted to increase binding affinity, further validating the method as a useful tool to increase protein- protein binding Affinities.
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Cellulase Linkers Are Optimized Based on Domain Type and Function: Insights from Sequence Analysis, Biophysical Measurements, and Molecular Simulation
Deanne W. Sammond,Christina M. Payne,Roman Brunecky,Michael E. Himmel,Michael F. Crowley,Gregg T. Beckham,Gregg T. Beckham +6 more
TL;DR: The results suggest that linkers exhibit features that are likely tailored for optimal function, despite possessing low sequence identity, and highlights the need for additional studies to elucidate cellulase linker functions.