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Dive into the research topics where Todd O. Yeates is active.

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Featured researches published by Todd O. Yeates.


Nature | 1999

A combined algorithm for genome-wide prediction of protein function

Edward M. Marcotte; Matteo Pellegrini; Michael J. Thompson; Todd O. Yeates; David Eisenberg

The availability of over 20 fully sequenced genomes has driven the development of new methods to find protein function and interactions. Here we group proteins by correlated evolution, correlated messenger RNA expression patterns and patterns of domain fusion to determine functional relationships among the 6,217 proteins of the yeast Saccharomyces cerevisiae. Using these methods, we discover over 93,000 pairwise links between functionally related yeast proteins. Links between characterized and uncharacterized proteins allow a general function to be assigned to more than half of the 2,557 previously uncharacterized yeast proteins. Examples of functional links are given for a protein family of previously unknown function, a protein whose human homologues are implicated in colon cancer and the yeast prion Sup35.


Nature | 2000

Protein function in the post-genomic era

David Eisenberg; Edward M. Marcotte; Ioannis Xenarios; Todd O. Yeates

Faced with the avalanche of genomic sequences and data on messenger RNA expression, biological scientists are confronting a frightening prospect: piles of information but only flakes of knowledge. How can the thousands of sequences being determined and deposited, and the thousands of expression profiles being generated by the new array methods, be synthesized into useful knowledge? What form will this knowledge take? These are questions being addressed by scientists in the field known as ‘functional genomics’.


Methods in Enzymology | 1997

Detecting and overcoming crystal twinning.

Todd O. Yeates

Twinning is fairly common in protein crystals. In its merohedral from, twinning is not apparent in the diffraction pattern, but the observed intensities do not represent individual crystallographic intensities. Since partial twinning (twin fraction less than 1/2) and perfect twinning (twin fraction of 1/2) can both be identified relatively easily by examining intensity statistics, the appropriate tests should be performed routinely when working in space groups that support merohedral twinning.


Science | 2012

Computational Design of Self-Assembling Protein Nanomaterials with Atomic Level Accuracy

Neil P. King; William Sheffler; Michael R. Sawaya; Breanna S. Vollmar; John P. Sumida; Ingemar André; Tamir Gonen; Todd O. Yeates; David Baker

Design and Build Self-assembling biomolecules are attractive building blocks in the development of functional materials. Sophisticated DNA-based materials have been developed; however, progress in designing protein-based materials has been slower. King et al. (p. 1171) describe a general computational method in which protein building blocks are first symmetrically docked onto a target architecture, and then binding interfaces that drive self-assembly of the building blocks are designed. As a proof of principle, trimeric building blocks were used to design self-assembling 12-subunit complexes with tetrahedral symmetry and 24-subunit complexes with octahedral symmetry. Lai et al. (p. 1129) were able to build a 12-subunit tetrahedral protein cage from fused oligomeric protein domains. A general computational method is used to design protein building blocks that self-assemble into target architectures. We describe a general computational method for designing proteins that self-assemble to a desired symmetric architecture. Protein building blocks are docked together symmetrically to identify complementary packing arrangements, and low-energy protein-protein interfaces are then designed between the building blocks in order to drive self-assembly. We used trimeric protein building blocks to design a 24-subunit, 13-nm diameter complex with octahedral symmetry and a 12-subunit, 11-nm diameter complex with tetrahedral symmetry. The designed proteins assembled to the desired oligomeric states in solution, and the crystal structures of the complexes revealed that the resulting materials closely match the design models. The method can be used to design a wide variety of self-assembling protein nanomaterials.


Nature Reviews Microbiology | 2008

Protein-based organelles in bacteria: carboxysomes and related microcompartments

Todd O. Yeates; Cheryl A. Kerfeld; Sabine Heinhorst; Gordon C. Cannon; Jessup M. Shively

Many bacteria contain intracellular microcompartments with outer shells that are composed of thousands of protein subunits and interiors that are filled with functionally related enzymes. These microcompartments serve as organelles by sequestering specific metabolic pathways in bacterial cells. The carboxysome, a prototypical bacterial microcompartment that is found in cyanobacteria and some chemoautotrophs, encapsulates ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO) and carbonic anhydrase, and thereby enhances carbon fixation by elevating the levels of CO2 in the vicinity of RuBisCO. Evolutionarily related, but functionally distinct, microcompartments are present in diverse bacteria. Although bacterial microcompartments were first observed more than 40 years ago, a detailed understanding of how they function is only now beginning to emerge.


Genome Biology | 2004

Prolinks: a database of protein functional linkages derived from coevolution

Peter M. Bowers; Matteo Pellegrini; Michael J. Thompson; Joe Fierro; Todd O. Yeates; David Eisenberg

The advent of whole-genome sequencing has led to methods that infer protein function and linkages. We have combined four such algorithms (phylogenetic profile, Rosetta Stone, gene neighbor and gene cluster) in a single database - Prolinks - that spans 83 organisms and includes 10 million high-confidence links. The Proteome Navigator tool allows users to browse predicted linkage networks interactively, providing accompanying annotation from public databases. The Prolinks database and the Proteome Navigator tool are available for use online at http://dip.doe-mbi.ucla.edu/pronav.


Proceedings of the National Academy of Sciences of the United States of America | 2001

Nanohedra: Using symmetry to design self assembling protein cages, layers, crystals, and filaments

Jennifer E. Padilla; Christos Colovos; Todd O. Yeates

A general strategy is described for designing proteins that self assemble into large symmetrical nanomaterials, including molecular cages, filaments, layers, and porous materials. In this strategy, one molecule of protein A, which naturally forms a self-assembling oligomer, An, is fused rigidly to one molecule of protein B, which forms another self-assembling oligomer, Bm. The result is a fusion protein, A-B, which self assembles with other identical copies of itself into a designed nanohedral particle or material, (A-B)p. The strategy is demonstrated through the design, production, and characterization of two fusion proteins: a 49-kDa protein designed to assemble into a cage approximately 15 nm across, and a 44-kDa protein designed to assemble into long filaments approximately 4 nm wide. The strategy opens a way to create a wide variety of potentially useful protein-based materials, some of which share similar features with natural biological assemblies.


Nature Structural & Molecular Biology | 2003

Amyloid-Like Filaments and Water-Filled Nanotubes Formed by Sod1 Mutant Proteins Linked to Familial Als

Jennifer Stine Elam; Alexander B. Taylor; Richard W. Strange; Svetlana V. Antonyuk; Peter A. Doucette; Jorge A. Rodriguez; S. Samar Hasnain; Lawrence J. Hayward; Joan Selverstone Valentine; Todd O. Yeates; P. John Hart

Mutations in the SOD1 gene cause the autosomal dominant, neurodegenerative disorder familial amyotrophic lateral sclerosis (FALS). In spinal cord neurons of human FALS patients and in transgenic mice expressing these mutant proteins, aggregates containing FALS SOD1 are observed. Accumulation of SOD1 aggregates is believed to interfere with axonal transport, protein degradation and anti-apoptotic functions of the neuronal cellular machinery. Here we show that metal-deficient, pathogenic SOD1 mutant proteins crystallize in three different crystal forms, all of which reveal higher-order assemblies of aligned β-sheets. Amyloid-like filaments and water-filled nanotubes arise through extensive interactions between loop and β-barrel elements of neighboring mutant SOD1 molecules. In all cases, non-native conformational changes permit a gain of interaction between dimers that leads to higher-order arrays. Normal β-sheet–containing proteins avoid such self-association by preventing their edge strands from making intermolecular interactions. Loss of this protection through conformational rearrangement in the metal-deficient enzyme could be a toxic property common to mutants of SOD1 linked to FALS.


Science | 2008

Atomic-level models of the bacterial carboxysome shell.

Shiho Tanaka; Cheryl A. Kerfeld; Michael R. Sawaya; Fei Cai; Sabine Heinhorst; Gordon C. Cannon; Todd O. Yeates

The carboxysome is a bacterial microcompartment that functions as a simple organelle by sequestering enzymes involved in carbon fixation. The carboxysome shell is roughly 800 to 1400 angstroms in diameter and is assembled from several thousand protein subunits. Previous studies have revealed the three-dimensional structures of hexameric carboxysome shell proteins, which self-assemble into molecular layers that most likely constitute the facets of the polyhedral shell. Here, we report the three-dimensional structures of two proteins of previously unknown function, CcmL and OrfA (or CsoS4A), from the two known classes of carboxysomes, at resolutions of 2.4 and 2.15 angstroms. Both proteins assemble to form pentameric structures whose size and shape are compatible with formation of vertices in an icosahedral shell. Combining these pentamers with the hexamers previously elucidated gives two plausible, preliminary atomic models for the carboxysome shell.


Nature | 2014

Accurate design of co-assembling multi-component protein nanomaterials.

Neil P. King; Jacob B. Bale; William Sheffler; Dan E. McNamara; Shane Gonen; Tamir Gonen; Todd O. Yeates; David Baker

The self-assembly of proteins into highly ordered nanoscale architectures is a hallmark of biological systems. The sophisticated functions of these molecular machines have inspired the development of methods to engineer self-assembling protein nanostructures; however, the design of multi-component protein nanomaterials with high accuracy remains an outstanding challenge. Here we report a computational method for designing protein nanomaterials in which multiple copies of two distinct subunits co-assemble into a specific architecture. We use the method to design five 24-subunit cage-like protein nanomaterials in two distinct symmetric architectures and experimentally demonstrate that their structures are in close agreement with the computational design models. The accuracy of the method and the number and variety of two-component materials that it makes accessible suggest a route to the construction of functional protein nanomaterials tailored to specific applications.

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