@article {3079, title = {The Archaellum of Methanospirillum hungatei Is Electrically Conductive.}, journal = {mBio}, volume = {10}, year = {2019}, month = {2019 Apr 16}, abstract = {

Microbially produced electrically conductive protein filaments are of interest because they can function as conduits for long-range biological electron transfer. They also show promise as sustainably produced electronic materials. Until now, microbially produced conductive protein filaments have been reported only for bacteria. We report here that the archaellum of is electrically conductive. This is the first demonstration that electrically conductive protein filaments have evolved in Furthermore, the structure of the archaellum was previously determined (N. Poweleit, P. Ge, H. N. Nguyen, R. R. O. Loo, et al., Nat Microbiol 2:16222, 2016, https://doi.org/10.1038/nmicrobiol.2016.222). Thus, the archaellum of is the first microbially produced electrically conductive protein filament for which a structure is known. We analyzed the previously published structure and identified a core of tightly packed phenylalanines that is one likely route for electron conductance. The availability of the archaellum structure is expected to substantially advance mechanistic evaluation of long-range electron transport in microbially produced electrically conductive filaments and to aid in the design of "green" electronic materials that can be microbially produced with renewable feedstocks. Microbially produced electrically conductive protein filaments are a revolutionary, sustainably produced, electronic material with broad potential applications. The design of new protein nanowires based on the known archaellum structure could be a major advance over the current empirical design of synthetic protein nanowires from electrically conductive bacterial pili. An understanding of the diversity of outer-surface protein structures capable of electron transfer is important for developing models for microbial electrical communication with other cells and minerals in natural anaerobic environments. Extracellular electron exchange is also essential in engineered environments such as bioelectrochemical devices and anaerobic digesters converting wastes to methane. The finding that the archaellum of is electrically conductive suggests that some archaea might be able to make long-range electrical connections with their external environment.

}, keywords = {Electric Conductivity, Electricity, Electron Transport, Flagella, Methanospirillum, Phenylalanine}, issn = {2150-7511}, doi = {10.1128/mBio.00579-19}, author = {Walker, David J F and Martz, Eric and Holmes, Dawn E and Zhou, Zimu and Nonnenmann, Stephen S and Lovley, Derek R} } @article {3102, title = {Low Energy Atomic Models Suggesting a Pilus Structure that could Account for Electrical Conductivity of Geobacter sulfurreducens Pili.}, journal = {Sci Rep}, volume = {6}, year = {2016}, month = {2016 Mar 22}, pages = {23385}, abstract = {

The metallic-like electrical conductivity of Geobacter sulfurreducens pili has been documented with multiple lines of experimental evidence, but there is only a rudimentary understanding of the structural features which contribute to this novel mode of biological electron transport. In order to determine if it was feasible for the pilin monomers of G. sulfurreducens to assemble into a conductive filament, theoretical energy-minimized models of Geobacter pili were constructed with a previously described approach, in which pilin monomers are assembled using randomized structural parameters and distance constraints. The lowest energy models from a specific group of predicted structures lacked a central channel, in contrast to previously existing pili models. In half of the no-channel models the three N-terminal aromatic residues of the pilin monomer are arranged in a potentially electrically conductive geometry, sufficiently close to account for the experimentally observed metallic like conductivity of the pili that has been attributed to overlapping pi-pi orbitals of aromatic amino acids. These atomic resolution models capable of explaining the observed conductive properties of Geobacter pili are a valuable tool to guide further investigation of the metallic-like conductivity of the pili, their role in biogeochemical cycling, and applications in bioenergy and bioelectronics.

}, keywords = {Electric Conductivity, Fimbriae, Bacterial, Geobacter, Models, Theoretical}, issn = {2045-2322}, doi = {10.1038/srep23385}, author = {Xiao, Ke and Malvankar, Nikhil S and Shu, Chuanjun and Martz, Eric and Lovley, Derek R and Sun, Xiao} } @article {3111, title = {Structural basis for metallic-like conductivity in microbial nanowires.}, journal = {mBio}, volume = {6}, year = {2015}, month = {2015 Mar 03}, pages = {e00084}, abstract = {

UNLABELLED: Direct measurement of multiple physical properties of Geobacter sulfurreducens pili have demonstrated that they possess metallic-like conductivity, but several studies have suggested that metallic-like conductivity is unlikely based on the structures of the G.~sulfurreducens pilus predicted from homology models. In order to further evaluate this discrepancy, pili were examined with synchrotron X-ray microdiffraction and rocking-curve X-ray diffraction. Both techniques revealed a periodic 3.2-{\r A} spacing in conductive, wild-type G.~sulfurreducens pili that was missing in the nonconductive pili of strain Aro5, which lack key aromatic acids required for conductivity. The intensity of the 3.2-{\r A} peak increased 100-fold when the pH was shifted from 10.5 to 2, corresponding with a previously reported 100-fold increase in pilus conductivity with this pH change. These results suggest a clear structure-function correlation for metallic-like conductivity that can be attributed to overlapping π-orbitals of aromatic amino acids. A homology model of the G.~sulfurreducens pilus was constructed with a Pseudomonas aeruginosa pilus model as a template as an alternative to previous models, which were based on a Neisseria gonorrhoeae pilus structure. This alternative model predicted that aromatic amino acids in G.~sulfurreducens pili are packed within 3 to 4~{\r A}, consistent with the experimental results. Thus, the predictions of homology modeling are highly sensitive to assumptions inherent in the model construction. The experimental results reported here further support the concept that the pili of G.~sulfurreducens represent a novel class of electronically functional proteins in which aromatic amino acids promote long-distance electron transport.

IMPORTANCE: The mechanism for long-range electron transport along the conductive pili of Geobacter sulfurreducens is of interest because these "microbial nanowires" are important in biogeochemical cycling as well as applications in bioenergy and bioelectronics. Although proteins are typically insulators, G.~sulfurreducens pilus proteins possess metallic-like conductivity. The studies reported here provide important structural insights into the mechanism of the metallic-like conductivity of G.~sulfurreducens pili. This information is expected to be useful in the design of novel bioelectronic materials.

}, keywords = {Amino Acids, Aromatic, Chemical Phenomena, Electrophysiological Phenomena, Fimbriae, Bacterial, Geobacter, Hydrogen-Ion Concentration, Models, Molecular, Nanowires, X-Ray Diffraction}, issn = {2150-7511}, doi = {10.1128/mBio.00084-15}, author = {Malvankar, Nikhil S and Vargas, Madeline and Nevin, Kelly and Tremblay, Pier-Luc and Evans-Lutterodt, Kenneth and Nykypanchuk, Dmytro and Martz, Eric and Tuominen, Mark T and Lovley, Derek R} } @article {676, title = {Proteopedia: a status report on the collaborative, 3D web-encyclopedia of proteins and other biomolecules.}, journal = {J Struct Biol}, volume = {175}, year = {2011}, month = {2011 Aug}, pages = {244-52}, abstract = {Proteopedia is a collaborative, 3D web-encyclopedia of protein, nucleic acid and other biomolecule structures. Created as a means for communicating biomolecule structures to a diverse scientific audience, Proteopedia (http://www.proteopedia.org) presents structural annotation in an intuitive, interactive format and allows members of the scientific community to easily contribute their own annotations. Here, we provide a status report on Proteopedia by describing advances in the web resource since its inception three and a half years ago, focusing on features of potential direct use to the scientific community. We discuss its progress as a collaborative 3D-encyclopedia of structures as well as its use as a complement to scientific publications and PowerPoint presentations. We also describe Proteopedia{\textquoteright}s use for 3D visualization in structure-related pedagogy.}, keywords = {Encyclopedias as Topic, Information Dissemination, Information Management, Information Services, Models, Molecular, Molecular Biology, Online Systems, Protein Conformation, Proteins, User-Computer Interface}, issn = {1095-8657}, doi = {10.1016/j.jsb.2011.04.011}, author = {Prilusky, Jaime and Hodis, Eran and Canner, David and Decatur, Wayne A and Oberholser, Karl and Martz, Eric and Berchanski, Alexander and Harel, Michal and Sussman, Joel L} } @article {677, title = {ConSurf 2010: calculating evolutionary conservation in sequence and structure of proteins and nucleic acids.}, journal = {Nucleic Acids Res}, volume = {38}, year = {2010}, month = {2010 Jul}, pages = {W529-33}, abstract = {It is informative to detect highly conserved positions in proteins and nucleic acid sequence/structure since they are often indicative of structural and/or functional importance. ConSurf (http://consurf.tau.ac.il) and ConSeq (http://conseq.tau.ac.il) are two well-established web servers for calculating the evolutionary conservation of amino acid positions in proteins using an empirical Bayesian inference, starting from protein structure and sequence, respectively. Here, we present the new version of the ConSurf web server that combines the two independent servers, providing an easier and more intuitive step-by-step interface, while offering the user more flexibility during the process. In addition, the new version of ConSurf calculates the evolutionary rates for nucleic acid sequences. The new version is freely available at: http://consurf.tau.ac.il/.}, keywords = {Amino Acid Sequence, Base Sequence, Conserved Sequence, Evolution, Molecular, Internet, Nucleic Acid Conformation, Protein Conformation, Sequence Analysis, Sequence Homology, Amino Acid, Software}, issn = {1362-4962}, doi = {10.1093/nar/gkq399}, author = {Ashkenazy, Haim and Erez, Elana and Martz, Eric and Pupko, Tal and Ben-Tal, Nir} } @article {678, title = {Epitopia: a web-server for predicting B-cell epitopes.}, journal = {BMC Bioinformatics}, volume = {10}, year = {2009}, month = {2009}, pages = {287}, abstract = {BACKGROUND: Detecting candidate B-cell epitopes in a protein is a basic and fundamental step in many immunological applications. Due to the impracticality of experimental approaches to systematically scan the entire protein, a computational tool that predicts the most probable epitope regions is desirable. RESULTS: The Epitopia server is a web-based tool that aims to predict immunogenic regions in either a protein three-dimensional structure or a linear sequence. Epitopia implements a machine-learning algorithm that was trained to discern antigenic features within a given protein. The Epitopia algorithm has been compared to other available epitope prediction tools and was found to have higher predictive power. A special emphasis was put on the development of a user-friendly graphical interface for displaying the results. CONCLUSION: Epitopia is a user-friendly web-server that predicts immunogenic regions for both a protein structure and a protein sequence. Its accuracy and functionality make it a highly useful tool. Epitopia is available at http://epitopia.tau.ac.il and includes extensive explanations and example predictions.}, keywords = {Algorithms, Artificial Intelligence, Computational Biology, Epitopes, B-Lymphocyte, Internet, Software}, issn = {1471-2105}, doi = {10.1186/1471-2105-10-287}, author = {Rubinstein, Nimrod D and Mayrose, Itay and Martz, Eric and Pupko, Tal} } @article {679, title = {Proteopedia.Org: a scientific "Wiki" bridging the rift between 3D structure and function of biomacromolecules.}, journal = {Biopolymers}, volume = {92}, year = {2009}, month = {2009}, pages = {76-7}, keywords = {Computational Biology, Imaging, Three-Dimensional, Internet, Models, Molecular, Protein Structure, Quaternary, Protein Structure, Tertiary, Proteins, Structure-Activity Relationship}, issn = {0006-3525}, doi = {10.1002/bip.21126}, author = {Martz, Eric} } @article {680, title = {Proteopedia - a scientific {\textquoteright}wiki{\textquoteright} bridging the rift between three-dimensional structure and function of biomacromolecules.}, journal = {Genome Biol}, volume = {9}, year = {2008}, month = {2008}, pages = {R121}, abstract = {Many scientists lack the background to fully utilize the wealth of solved three-dimensional biomacromolecule structures. Thus, a resource is needed to present structure/function information in a user-friendly manner to a broad scientific audience. Proteopedia http://www.proteopedia.org is an interactive, wiki web-resource whose pages have embedded three-dimensional structures surrounded by descriptive text containing hyperlinks that change the appearance (view, representations, colors, labels) of the adjacent three-dimensional structure to reflect the concept explained in the text.}, keywords = {Databases, Protein, Internet, Models, Molecular, Protein Conformation, Protein Structure, Tertiary, Proteins, Software}, issn = {1465-6914}, doi = {10.1186/gb-2008-9-8-r121}, author = {Hodis, Eran and Prilusky, Jaime and Martz, Eric and Silman, Israel and Moult, John and Sussman, Joel L} } @article {681, title = {Pepitope: epitope mapping from affinity-selected peptides.}, journal = {Bioinformatics}, volume = {23}, year = {2007}, month = {2007 Dec 1}, pages = {3244-6}, abstract = {Identifying the epitope to which an antibody binds is central for many immunological applications such as drug design and vaccine development. The Pepitope server is a web-based tool that aims at predicting discontinuous epitopes based on a set of peptides that were affinity-selected against a monoclonal antibody of interest. The server implements three different algorithms for epitope mapping: PepSurf, Mapitope, and a combination of the two. The rationale behind these algorithms is that the set of peptides mimics the genuine epitope in terms of physicochemical properties and spatial organization. When the three-dimensional (3D) structure of the antigen is known, the information in these peptides can be used to computationally infer the corresponding epitope. A user-friendly web interface and a graphical tool that allows viewing the predicted epitopes were developed. Pepitope can also be applied for inferring other types of protein-protein interactions beyond the immunological context, and as a general tool for aligning linear sequences to a 3D structure. AVAILABILITY: http://pepitope.tau.ac.il/}, keywords = {Algorithms, Amino Acid Sequence, Binding Sites, Epitope Mapping, Molecular Sequence Data, Peptides, Protein Binding, Sequence Alignment, Sequence Analysis, Protein, Software}, issn = {1367-4811}, doi = {10.1093/bioinformatics/btm493}, author = {Mayrose, Itay and Penn, Osnat and Erez, Elana and Rubinstein, Nimrod D and Shlomi, Tomer and Freund, Natalia Tarnovitski and Bublil, Erez M and Ruppin, Eytan and Sharan, Roded and Gershoni, Jonathan M and Martz, Eric and Pupko, Tal} } @article {682, title = {Selecton 2007: advanced models for detecting positive and purifying selection using a Bayesian inference approach.}, journal = {Nucleic Acids Res}, volume = {35}, year = {2007}, month = {2007 Jul}, pages = {W506-11}, abstract = {Biologically significant sites in a protein may be identified by contrasting the rates of synonymous (K(s)) and non-synonymous (K(a)) substitutions. This enables the inference of site-specific positive Darwinian selection and purifying selection. We present here Selecton version 2.2 (http://selecton.bioinfo.tau.ac.il), a web server which automatically calculates the ratio between K(a) and K(s) (omega) at each site of the protein. This ratio is graphically displayed on each site using a color-coding scheme, indicating either positive selection, purifying selection or lack of selection. Selecton implements an assembly of different evolutionary models, which allow for statistical testing of the hypothesis that a protein has undergone positive selection. Specifically, the recently developed mechanistic-empirical model is introduced, which takes into account the physicochemical properties of amino acids. Advanced options were introduced to allow maximal fine tuning of the server to the user{\textquoteright}s specific needs, including calculation of statistical support of the omega values, an advanced graphic display of the protein{\textquoteright}s 3-dimensional structure, use of different genetic codes and inputting of a pre-built phylogenetic tree. Selecton version 2.2 is an effective, user-friendly and freely available web server which implements up-to-date methods for computing site-specific selection forces, and the visualization of these forces on the protein{\textquoteright}s sequence and structure.}, keywords = {Algorithms, Amino Acid Sequence, Amino Acid Substitution, Amino Acids, Animals, Bayes Theorem, Computational Biology, Computer Simulation, Humans, Internet, Models, Molecular, Molecular Sequence Data, Phylogeny, Proteins, Sequence Analysis, Protein, Software}, issn = {1362-4962}, doi = {10.1093/nar/gkm382}, author = {Stern, Adi and Doron-Faigenboim, Adi and Erez, Elana and Martz, Eric and Bacharach, Eran and Pupko, Tal} } @article {683, title = {ConSurf 2005: the projection of evolutionary conservation scores of residues on protein structures.}, journal = {Nucleic Acids Res}, volume = {33}, year = {2005}, month = {2005 Jul 1}, pages = {W299-302}, abstract = {Key amino acid positions that are important for maintaining the 3D structure of a protein and/or its function(s), e.g. catalytic activity, binding to ligand, DNA or other proteins, are often under strong evolutionary constraints. Thus, the biological importance of a residue often correlates with its level of evolutionary conservation within the protein family. ConSurf (http://consurf.tau.ac.il/) is a web-based tool that automatically calculates evolutionary conservation scores and maps them on protein structures via a user-friendly interface. Structurally and functionally important regions in the protein typically appear as patches of evolutionarily conserved residues that are spatially close to each other. We present here version 3.0 of ConSurf. This new version includes an empirical Bayesian method for scoring conservation, which is more accurate than the maximum-likelihood method that was used in the earlier release. Various additional steps in the calculation can now be controlled by a number of advanced options, thus further improving the accuracy of the calculation. Moreover, ConSurf version 3.0 also includes a measure of confidence for the inferred amino acid conservation scores.}, keywords = {Amino Acid Substitution, Amino Acids, Bacterial Proteins, Bayes Theorem, Evolution, Molecular, Internet, Models, Molecular, Potassium Channels, Protein Conformation, Software}, issn = {1362-4962}, doi = {10.1093/nar/gki370}, author = {Landau, Meytal and Mayrose, Itay and Rosenberg, Yossi and Glaser, Fabian and Martz, Eric and Pupko, Tal and Ben-Tal, Nir} } @article {684, title = {ConSurf: identification of functional regions in proteins by surface-mapping of phylogenetic information.}, journal = {Bioinformatics}, volume = {19}, year = {2003}, month = {2003 Jan}, pages = {163-4}, abstract = {We recently developed algorithmic tools for the identification of functionally important regions in proteins of known three dimensional structure by estimating the degree of conservation of the amino-acid sites among their close sequence homologues. Projecting the conservation grades onto the molecular surface of these proteins reveals patches of highly conserved (or occasionally highly variable) residues that are often of important biological function. We present a new web server, ConSurf, which automates these algorithmic tools. ConSurf may be used for high-throughput characterization of functional regions in proteins. AVAILABILITY: The ConSurf web server is available at:http://consurf.tau.ac.il. SUPPLEMENTARY INFORMATION: A set of examples is available at http://consurf.tau.ac.il under {\textquoteright}GALLERY{\textquoteright}.}, keywords = {Amino Acids, bcl-X Protein, Conserved Sequence, Databases, Protein, Evolution, Molecular, Internet, Phylogeny, Protein Conformation, Proteins, Proto-Oncogene Proteins c-bcl-2, Sequence Alignment, Sequence Analysis, Protein, User-Computer Interface}, issn = {1367-4803}, author = {Glaser, Fabian and Pupko, Tal and Paz, Inbal and Bell, Rachel E and Bechor-Shental, Dalit and Martz, Eric and Ben-Tal, Nir} } @article {685, title = {Protein Explorer: easy yet powerful macromolecular visualization.}, journal = {Trends Biochem Sci}, volume = {27}, year = {2002}, month = {2002 Feb}, pages = {107-9}, abstract = {Protein Explorer (PE, http://www.proteinexplorer.org) enables students, educators and other nonspecialists to visualize macromolecular structures easily. It also offers several advanced capabilities useful to protein structure specialists. Great attention has been given to making PE easy to use. Explanations, color keys and troubleshooting information are displayed automatically. There are also {\textquoteright}Frequently Asked Questions{\textquoteright}, a one-hour {\textquoteright}Quick-Tour{\textquoteright}, an alphabetical {\textquoteright}Help/Index/Glossary{\textquoteright}, and a detailed {\textquoteright}Tutorial{\textquoteright}; all making PE much easier to use than either Chime or RasMol. Moreover, it is much more powerful; in addition to basic macromolecular visualization capabilities common to most similar programs, it offers one-click visualization of interfaces between moieties ({\textquoteright}contacts{\textquoteright}), cation-pi interactions and salt bridges, as well as easy-to-use routines to visualize regions of conservation in three-dimensional protein structures based on multiple sequence alignments.}, keywords = {Computational Biology, DNA, Evolution, Molecular, Macromolecular Substances, Protein Structure, Secondary, Proteins, Sequence Alignment, Software}, issn = {0968-0004}, author = {Martz, Eric} }