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Dive into the research topics where Ryan M. Bannen is active.

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Featured researches published by Ryan M. Bannen.


Proceedings of the National Academy of Sciences of the United States of America | 2008

Bioinformatic method for protein thermal stabilization by structural entropy optimization

Euiyoung Bae; Ryan M. Bannen; George N. Phillips

Engineering proteins for higher thermal stability is an important and difficult challenge. We describe a bioinformatic method incorporating sequence alignments to redesign proteins to be more stable through optimization of local structural entropy. Using this method, improved configurational entropy (ICE), we were able to design more stable variants of a mesophilic adenylate kinase with only the sequence information of one psychrophilic homologue. The redesigned proteins display considerable increases in their thermal stabilities while still retaining catalytic activity. ICE does not require a three-dimensional structure or a large number of homologous sequences, indicating a broad applicability of this method. Our results also highlight the importance of entropy in the stability of protein structures.


Journal of Biological Chemistry | 2008

Structure of Human J-type Co-chaperone HscB Reveals a Tetracysteine Metal-binding Domain

Eduard Bitto; Craig A. Bingman; Lenka Bittova; Dmitry A. Kondrashov; Ryan M. Bannen; Brian G. Fox; John L. Markley; George N. Phillips

Iron-sulfur proteins play indispensable roles in a broad range of biochemical processes. The biogenesis of iron-sulfur proteins is a complex process that has become a subject of extensive research. The final step of iron-sulfur protein assembly involves transfer of an iron-sulfur cluster from a cluster-donor to a cluster-acceptor protein. This process is facilitated by a specialized chaperone system, which consists of a molecular chaperone from the Hsc70 family and a co-chaperone of the J-domain family. The 3.0Å crystal structure of a human mitochondrial J-type co-chaperone HscB revealed an L-shaped protein that resembles Escherichia coli HscB. The important difference between the two homologs is the presence of an auxiliary metal-binding domain at the N terminus of human HscB that coordinates a metal via the tetracysteine consensus motif CWXCX9–13FCXXCXXXQ. The domain is found in HscB homologs from animals and plants as well as in magnetotactic bacteria. The metal-binding site of the domain is structurally similar to that of rubredoxin and several zinc finger proteins containing rubredoxin-like knuckles. The normal mode analysis of HscB revealed that this L-shaped protein preferentially undergoes a scissors-like motion that correlates well with the conformational changes of human HscB observed in the crystals.


Journal of Biological Chemistry | 2006

Membrane Association, Mechanism of Action, and Structure of Arabidopsis Embryonic Factor 1 (FAC1)

Byung Woo Han; Craig A. Bingman; Donna K. Mahnke; Ryan M. Bannen; Sebastian Y. Bednarek; Richard L. Sabina; George N. Phillips

Embryonic factor 1 (FAC1) is one of the earliest expressed plant genes and encodes an AMP deaminase (AMPD), which is also an identified herbicide target. This report identifies an N-terminal transmembrane domain in Arabidopsis FAC1, explores subcellular fractionation, and presents a 3.3-Å globular catalytic domain x-ray crystal structure with a bound herbicide-based transition state inhibitor that provides the first glimpse of a complete AMPD active site. FAC1 contains an (α/β)8-barrel characterized by loops in place of strands 5 and 6 that places it in a small subset of the amidohydrolase superfamily with imperfect folds. Unlike tetrameric animal orthologs, FAC1 is a dimer and each subunit contains an exposed Walker A motif that may be involved in the dramatic combined Km (25-80-fold lower) and Vmax (5-6-fold higher) activation by ATP. Normal mode analysis predicts a hinge motion that flattens basic surfaces on each monomer that flank the dimer interface, which suggests a reversible association between the FAC1 globular catalytic domain and intracellular membranes, with N-terminal transmembrane and disordered linker regions serving as the anchor and attachment to the globular catalytic domain, respectively.


Bioinformatics | 2008

Optimal design of thermally stable proteins

Ryan M. Bannen; Vanitha Suresh; George N. Phillips; Stephen J. Wright; Julie C. Mitchell

Motivation: For many biotechnological purposes, it is desirable to redesign proteins to be more structurally and functionally stable at higher temperatures. For example, chemical reactions are intrinsically faster at higher temperatures, so using enzymes that are stable at higher temperatures would lead to more efficient industrial processes. We describe an innovative and computationally efficient method called Improved Configurational Entropy (ICE), which can be used to redesign a protein to be more thermally stable (i.e. stable at high temperatures). This can be accomplished by systematically modifying the amino acid sequence via local structural entropy (LSE) minimization. The minimization problem is modeled as a shortest path problem in an acyclic graph with nonnegative weights and is solved efficiently using Dijkstras method. Contact: [email protected]


Proteins | 2007

Structure and dynamics of [gamma]-SNAP: Insight into flexibility of proteins from the SNAP family

Eduard Bitto; Craig A. Bingman; Dmitry A. Kondrashov; Jason G. McCoy; Ryan M. Bannen; Gary E. Wesenberg; George N. Phillips

Soluble N‐ethylmaleimide‐sensitive factor attachment protein gamma (γ‐SNAP) is a member of an eukaryotic protein family involved in intracellular membrane trafficking. The X‐ray structure of Brachydanio rerio γ‐SNAP was determined to 2.6 Å and revealed an all‐helical protein comprised of an extended twisted‐sheet of helical hairpins with a helical‐bundle domain on its carboxy‐terminal end. Structural and conformational differences between multiple observed γ‐SNAP molecules and Sec17, a SNAP family protein from yeast, are analyzed. Conformational variation in γ‐SNAP molecules is matched with great precision by the two lowest frequency normal modes of the structure. Comparison of the lowest‐frequency modes from γ‐SNAP and Sec17 indicated that the structures share preferred directions of flexibility, corresponding to bending and twisting of the twisted sheet motif. We discuss possible consequences related to the flexibility of the SNAP proteins for the mechanism of the 20S complex disassembly during the SNAP receptors recycling. Proteins 2008.


Journal of Structural and Functional Genomics | 2007

Effect of low-complexity regions on protein structure determination

Ryan M. Bannen; Craig A. Bingman; George N. Phillips

It has been previously shown that protein sequences containing a quasi-repetitive assortment of amino acids are common in genomes and databases such as Swiss-Prot but are under-represented in the structure-based Protein Data Bank (PDB). Structural genomics groups have been using the absence of these “low-complexity” sequences for several years as a way to select proteins that have a good chance of successful structure determination. In this study, we examine the data deposited in the PDB as well as the available data from structural genomics groups in TargetDB and PepcDB to reveal interesting trends that could be taken into consideration when using low-complexity sequences as part of the target selection process.


Proteins | 2014

Effectiveness and limitations of local structural entropy optimization in the thermal stabilization of mesophilic and thermophilic adenylate kinases

Sojin Moon; Ryan M. Bannen; Thomas J. Rutkoski; George N. Phillips; Euiyoung Bae

Local structural entropy (LSE) is a descriptor for the extent of conformational heterogeneity in short protein sequences that is computed from structural information derived from the Protein Data Bank. Reducing the LSE of a protein sequence by introducing amino acid mutations can result in fewer conformational states and thus a more stable structure, indicating that LSE optimization can be used as a protein stabilization method. Here, we describe a series of LSE optimization experiments designed to stabilize mesophilic and thermophilic adenylate kinases (AKs) and report crystal structures of LSE‐optimized AK variants. In the mesophilic AK, thermal stabilization by LSE reduction was effective but limited. Structural analyses of the LSE‐optimized mesophilic AK variants revealed a strong correlation between LSE and the apolar buried surface area. Additional mutations designed to introduce noncovalent interactions between distant regions of the polypeptide resulted in further stabilization. Unexpectedly, optimizing the LSE of the thermophilic AK resulted in a decrease in thermal stability. This destabilization was reduced when charged residues were excluded from the possible substitutions during LSE optimization. These observations suggest that stabilization by LSE reduction may result from the optimization of local hydrophobic contacts. The limitations of this process are likely due to ignorance of other interactions that bridge distant regions in a given amino acid sequence. Our results illustrate the effectiveness and limitations of LSE optimization as a protein stabilization strategy and highlight the importance and complementarity of local conformational stability and global interactions in protein thermal stability. Proteins 2014; 82:2631–2642.


Structure | 2007

Protein structural variation in computational models and crystallographic data.

Dmitry A. Kondrashov; Adam W. Van Wynsberghe; Ryan M. Bannen; Qiang Cui; George N. Phillips


Journal of Molecular Biology | 2007

Structure and Dynamics of UDP-Glucose Pyrophosphorylase from Arabidopsis thaliana with Bound UDP-Glucose and UTP

Jason G. McCoy; Eduard Bitto; Craig A. Bingman; Gary E. Wesenberg; Ryan M. Bannen; Dmitry A. Kondrashov; George N. Phillips


Archive | 2011

Combined Computational and Experimental Approaches to Sequence-Based Design of Protein Thermal Stability

Julie C. Mitchell; Thomas J. Rutkoski; Ryan M. Bannen; George N. Phillips

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George N. Phillips

University of Wisconsin-Madison

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Craig A. Bingman

University of Wisconsin-Madison

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Dmitry A. Kondrashov

University of Wisconsin-Madison

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Eduard Bitto

University of Wisconsin-Madison

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Gary E. Wesenberg

University of Wisconsin-Madison

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Jason G. McCoy

University of Wisconsin-Madison

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Julie C. Mitchell

Wisconsin Alumni Research Foundation

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Qiang Cui

University of Wisconsin-Madison

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Thomas J. Rutkoski

University of Wisconsin-Madison

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